| |
Management |
| |
-
MGMT 215 - Honors Seminar IV
Credits: 0
All PwC Scholars Program students participate in a series of Honors Seminars. Students enroll in the seminar for each semester they are in the program. Seminars may involve guest speakers from the community as well as from the School of Management. Discussion will focus on current issues in management. Upper classmen typically serve as seminar leaders, developing important leadership and organizational skills. Scholars seminar for second semester sophomores. PwC Scholars only.
|
| |
-
MGMT 224 - Honors Seminar III
Credits: 0
|
| |
-
MGMT 225 - Honors Seminar IV
Credits: 0
|
| |
-
MGMT 251 - PwC Scholars Sophomore Experience
Credits: 1
In this class students will work in teams on a business case. The case competition will last approximately three weeks and will culminate in a final round of presentations of the top three teams at the PwC offices in New York City.?
|
| |
-
MGMT 311 - Organizational Behavior
Credits: 3
Overview of human behavior in work organizations. Theoretical, empirical and applications issues examined from individual, interpersonal, group and organizational perspectives. Topics include overview and history of the field, perceptions, attitudes, learning processes, personality, motivation, stress, performance appraisal, group dynamics, leadership, communication, decision making, job design, organizational structure and design, organizational change and development. Part of the J-Core. Prerequisites: ECON 160,162, statistics, calculus and junior standing. Co-Requisites: FIN 311, MKTG 311 and OPM 311. Offered Summer, Fall and Spring Semesters
Prerequisites CQS 112 and junior standing.
|
| |
-
MGMT 314 - Honors Seminar V
Credits: 0
All PwC Scholars Program students participate in a series of Honors Seminars. Students enroll in the seminar for each semester they are in the program. Seminars may involve guest speakers from the community as well as from the School of Management. Discussion will focus on current issues in management. Upper classmen typically serve as seminar leaders, developing important leadership and organizational skills. Scholars seminar for first semester juniors.
|
| |
-
MGMT 315 - Honors Seminar VI
Credits: 0
All PwC Scholars Program students participate in a series of Honors Seminars. Students enroll in the seminar for each semester they are in the program. Seminars may involve guest speakers from the community as well as from the School of Management. Discussion will focus on current issues in management. Upper classmen typically serve as seminar leaders, developing important leadership and organizational skills. Scholars seminar for second semester juniors. PwC Scholars students only
|
| |
-
MGMT 324 - Honors Seminar V
Credits: 0
|
| |
-
MGMT 325 - Honors Seminar VI
Credits: 0
|
| |
-
MGMT 350 - PwC Scholars Community Project
Credits: 2
PwC Scholars each year undertake a major project for the Binghamton community. Past projects have included building several community playgrounds, restoring an outdoor play area at the Discovery Center and building a bookmobile for a flooded elementary school. Prerequisites: PwC scholars student and Junior standing. Offered in Fall and Spring Semesters.
|
| |
-
MGMT 411 - Global Strategic Management
Credits: 4
Capstone course providing conceptual tools for integrating functional skills acquired in previous courses. Emphasis is on strategic and socially responsible operation of the total enterprise in a global environment. Combines lectures with in-depth case analyses and simulations or research studies of actual industries in real time. Students research industries and companies, make oral presentations and write research papers. Traditionally offered Fall and Spring Semesters
Prerequisites CQS 311, OPM 311, MIS 311, Fin 311, MGMT 311, MKTG 311 and IBUS 311 and senior standing.
|
| |
-
MGMT 414 - Honors Seminar VII
Credits: 0
All PwC Scholars Program students participate in a series of Honors Seminars. Students enroll in the seminar for each semester they are in the program. Seminars may involve guest speakers from the community as well as from the School of Management. Discussion will focus on current issues in management. Upper classmen typically serve as seminar leaders, developing important leadership and organizational skills.Scholars seminar for first semester seniors.
|
| |
-
MGMT 415 - Honors Seminar VIII
Credits: 0
All PwC Scholars Program students participate in a series of Honors Seminars. Students enroll in the seminar for each semester they are in the program. Seminars may involve guest speakers from the community as well as from the School of Management. Discussion will focus on current issues in management. Upper classmen typically serve as seminar leaders, developing important leadership and organizational skills. Scholars seminar for second semester seniors.
|
| |
-
MGMT 424 - Honors Seminar VII
Credits: 0
|
| |
-
MGMT 425 - Honors Seminar VIII
Credits: 0
|
| |
-
MGMT 480H - International Experience
Credits: 1
The purpose of this course is to introduce students to the social, technological, economic and political environment of a foreign country. Each year a different country is selected by the faculty advisor and the relationship partner at PwC. The trip includes a visit to the local PwC offices, including a site visit with clients. We will also plan daily excursions in order to better understand the local economy and culture. Learning about a new country requires open-mindedness and a willingness to step out of one’s comfort zone. In today’s globalized world, it is imperative that students have experiences in many different settings. In preparing for the trip, it is highly recommended that you visit the following webiste http://www2.pacific.edu/sis/culture/index.htm. This site provides excellent advice about travelling abroad, especially in regards to addressing the cultural differences you will experience.
|
| |
-
MGMT 480L - Advanced Business Statistics
Credits: 4
|
| |
-
MGMT 480M - MGMT 111 Mentoring Program
Credits: 1
|
| |
-
MGMT 480P - Introduction to Product Management
Credits: 4
Introduction to Product Management is a project-based course designed to introduce students to the field of product management, and build the foundational skills to pursue it as a career. The course is meant for students interested in creating the next generation of innovative digital products. Great products often come from people with diverse backgrounds; as such, students from a wide array of academic backgrounds are welcome in the course. Furthermore, no previous product management experience or knowledge is necessary. For this course, expect a healthy mix of hands-on projects, building products & prototypes from scratch, customer discovery, ideation, introduction to industry tools, discussions with practitioners and mentors, and other forms of experiential learning that mirror the day-to-day activities of product managers at top tech companies.
|
| |
-
MGMT 491 - Practicum In College Teaching
Credits: Variable
Under the direction of the instructor, the student’s primary responsibility is to lead workshop, laboratory and/or course review sessions. Other responsibilities may include proctoring and reading examinations. Does not satisfy major or Harpur College Distribution requirements. Pass/Fail grading only. Maximum of two credit hours. Prerequisites: minimum grade of A- in the SOM course to be taught and consent of instructor and School of Management Advising Office. Credit will not be given for TA’ing a course a second time. Only eight credits of teaching practicums, internships or independent studies may count towards completed credit hours in SOM Offered as needed.
|
| |
-
MGMT 495 - Internship
Credits: Variable
Opportunity to obtain academic credit for well-structured, work-related experiences in a management field other than accounting. Faculty supervision and consent necessary. Strong academic content, degree relevancy must be demonstrated. Pass/Fail option only. Prerequisites: junior standing and appropriate introductory courses. Offered every semester.
|
| |
-
MGMT 497 - Readings & Research
Credits: Variable
Tutorial reading, research or participation in a seminar depending on interests, needs and capabilities. Prerequisites: senior standing and consent of instructor. Offered every semester.
|
| |
-
MGMT 500 - Management Information Systems
Credits: 3
This course on computer-based organizational information systems surveys the need and role of information systems in organizations, technical foundations of information systems, management of the information systems function, types of information systems and common personal productivity applications.
|
| |
-
MGMT 501 - Accounting For Managers
Credits: 3
Introduction to financial and managerial accounting concepts, with emphasis on the use of accounting information by various stakeholders in the corporation, including investors, lenders and managers.
|
| |
-
MGMT 502 - Managerial Economics
Credits: 3
Applies economic theory to business and economic decisions. Models of production, costs, investment and resource allocation are developed. Offered in the Spring Semester.
|
| |
-
MGMT 503 - Statistical Analysis for Management
Credits: 3
This course introduces students to statistical methods and their applications in managerial decision making. Topics covered include descriptive statistics, basic inferential models, as well as porbability theory and data management. Offered in the Fall Semester.
|
| |
-
MGMT 504 - Programming for Business Analytics
Credits: 3
This course is designed to help students learn the fundamentals of programming using Python language. This course will upgrade students’ level to the stage of learning the capabilities and available libraries of Python language, ability to use Jupyter Notebook, and uploading packages. Also, understanding general Python structure and syntax, including numbers, variables, “if” statement, “where” statement, loops, lists, strings, tuples, dictionaries, functions, and sets. Furthermore, students will learn reading and writing on files, data wrangling, visualization, and introduction to NumPy.
|
| |
-
MGMT 505 - Finance For Managers
Credits: 3
Concepts and techniques necessary for financial decision making with a firm. Topics include time value of money, basic security valuation, asset pricing, financial contracting, long-term investment, dividend and financing decisions. Corequisites: MGMT 501.
|
| |
-
MGMT 506 - Marketing For Managers
Credits: 3
The marketing environment; ethical issues, consumer behavior, marketing planning; product, price, promotion and distribution decisions. Emphasis on understanding the impact on marketing of strategic development. Prerequisite: MGMT 501. Offered in the Spring Semester.
Prerequisites MGMT 501.
|
| |
-
MGMT 507 - Operations Management
Credits: 3
An introduction to the design, planning and control of systems that produce goods and services. Topics include quality management, forecasting, product design, capacity planning, facility layout, MRP, just-in-time manufacturing, scheduling, project planning and inventory management. Prerequisite: MGMT 503. Offered in the Spring Semester.
Prerequisites MGMT 503
|
| |
-
MGMT 508 - Organizational Behavior
Credits: 3
Organizational Behavior (OB) is a foundational course in the MBA program course sequence. This course provides students with concepts and theories regarding individuals and groups of individuals in organizational settings. Topics include a) individual issues such as personality, attitudes, motivation, cognition, and emotions; b) group issues such as group process, teamwork, and leadership; and c) organizational issues such as organization design, culture, and change.
|
| |
-
MGMT 516 - Business Communications
Credits: 2
Integrates oral and written communications skills that empower students to prepare and deliver efficient and effective messages.
|
| |
-
MGMT 517 - Advanced Technology
Credits: 2
This course discusses how to apply technology in different ways to solve problems, communicate more efficiently, and exploit emerging opportunities within organizations. It examines the use of the Internet as a resource for e-business (for example, content literacy, communication, commerce and computing), and how to better understand issues related to technology deployments and use.
|
| |
-
MGMT 530 - Global & Ethical Environment
Credits: 2
The course focuses on identifying, analyzing, and resolving ethical dilemmas in the conduct of global business. Classical Theories of ethics are explored with a view toward creating a framework for ethical decision-making. The role of personal values and common ethics tests are considered. Other topics include Stakeholder Theory, Corporate Social Responsibility; Corporate Governance; ethical decision-making regarding employees, external constituents, and the environment; and making business decisions in a global environment when more than one cultural/ethical system impacts the decision. Throughout the course numerous cases are analyzed and discussed. Offered in the Spring Semester.
|
| |
-
MGMT 540 - Strategic Management
Credits: 3
Capstone course providing conceptual tools for integrating functional skills acquired in previous courses. Emphasis is on strategic and socially responsible operation of the total enterprise in a global environment. Combines lectures with in-depth case analyses and simulations or research studies of actual industries in real time. Prerequisite: all core courses.
|
| |
-
MGMT 580P - Introduction to Product Management
Credits: 4
|
| |
-
MGMT 581A - Business, Human Rights & Atrocities
Credits: 4
SPECIAL TOPICS
|
| |
-
MGMT 581B - Forensic Accounting: Audit Analytics
Credits: 4
SPECIAL TOPICS
|
| |
-
MGMT 581L - Advanced Business Statistics
Credits: 4
Advanced statistical methods and their applications in business data analysis. Topics include in-depth discussion of continuous and categorical data analysis as well as the introduction to R and Python programming
Pre-req: Statistics
|
| |
-
MGMT 582A - Managerial Economics
Credits: 2
|
| |
-
MGMT 582C - Managerial Economics
Credits: 2
|
| |
-
MGMT 583N - Negotiations
Credits: 4
In this course, students learn to negotiate for personal and career objectives through textbook and negotiation exercises, including individual as well as team negotiations. Topics include planning, negotiation opponent assessment, strategy and tactical planning, voice and word control, role playing, and reactive flexibility.
|
| |
-
MGMT 584A - Ethical Issues
Credits: 2
|
| |
-
MGMT 584B - Ethical Issues
Credits: 2
|
| |
-
MGMT 586A - Statistical Analysis for Management
Credits: 2
1-4 cr.
|
| |
-
MGMT 587A - Special Topics
Credits: 2
|
| |
-
MGMT 587B - Special Topics
Credits: 2
|
| |
-
MGMT 587C - Special Topics
Credits: 2
|
| |
-
MGMT 587F - Finance & Economics of Healthcare
Credits: 2
1-4 cr.
|
| |
-
MGMT 587G - Management Information Systems of Healthcare
Credits: 2
1-4 cr.
|
| |
-
MGMT 589A - Special Topics
Credits: 4
|
| |
-
MGMT 589C - Special Topics
Credits: 4
|
| |
-
MGMT 589E - Special Topics
Credits: 4
|
| |
-
MGMT 589F - Advanced Technology & Virtual Teams
Credits: 4
1-4 cr.
|
| |
-
MGMT 589G - Strategic Management for Profession
Credits: 4
|
| |
-
MGMT 591 - Practicum in College Teaching
Credits: Variable
Under the direction of the instructor, the student’s primary responsibility is to lead workshop, lab and/or course review sessions. Other responsibilities may include proctoring and reading examinations. Offered as Needed.
|
| |
-
MGMT 595 - Internship
Credits: Variable
Students may gain academic credit for meaningful educational internships. Academic validity of each opportunity verified by a faculty supervisor. Provides significant experience related to the student’s career goals. Offered every semester.
|
| |
-
MGMT 597 - Independent Study
Credits: Variable
In depth study in particular area of interest under the supervision of appropriate faculty. Offered as needed.
|
| |
-
MGMT 600 - RESEARCH METHODS I
Credits: 4
Provides doctoral students in management with a foundation for conducting research in their respective disciplines. Goal of the first half is to make students broadly aware of alternative philosophies and approaches to conducting research and to prepare them to evaluate contributions from research in other fields. Key topics include ethics in research, phenomenological vs. empirical research strategies, theories of model building, inductive vs. deductive reasoning and field vs. laboratory research. The remaining half introduces research design and analysis used across different management disciplines (use of statistical tools, principles of logic, mathematics, measurement theory, etc.). Traditionally Semester.
|
| |
-
MGMT 601 - RESEARCH METHODS II
Credits: 4
Covers topics in research methods relevant to the particular concentrations in the SOM advanced doctoral program. For example, the Research Methods II course for information systems may focus on research approaches and qualitative methods, the course for organizational behavior may focus on casual modeling concepts, and the course for finance may focus on econometric issues. Because of the different nature of the courses offered in different areas, doctoral students may take more than one section of Research Methods II as part of their coursework if appropriate. Traditionally offered in Spring Semesters.
|
| |
-
MGMT 602 - Seminar On Pedagogy in Management
Credits: 2
Covers topics on the application of modern pedagogical theory to college-level teaching in management. Topics differ from semester to semester, but may include implications of personality type, cognitive development and learning theories for teaching management; practica on proper teaching techniques such as lecturing, leading discussions, using team and group learning, and teaching with technology; testing and assessment of learning; evaluation of teaching; and professional development. Traditionally offered in Spring Semesters.
|
| |
-
MGMT 680A - Multivariate Statistics
Credits: 4
|
| |
-
MGMT 680B - Advanced Methodology Project I
Credits: 4
|
| |
-
MGMT 680C - Doctorial Seminar in Strategic Management
Credits: 4
|
| |
-
MGMT 680D - Multilevel Measurement & Analysis
Credits: 4
|
| |
-
MGMT 680E - Multilevel Theory
Credits: 4
|
| |
-
MGMT 687 - Organizational Theory
Credits: 4
ORGANIZATIONAL THEORY
|
| |
-
MGMT 697 - Independent Study
Credits: Variable
Independent reading and research. Offered as needed.
|
| |
-
MGMT 698 - Pre-Dissertation Research
Credits: Variable
Independent reading and/or research in preparation for comprehensive examinations for admission to PhD candidacy and/or preparation of dissertation prospectus.
|
| |
-
MGMT 699 - Dissertation Research
Credits: Variable
Research for and preparation of the dissertation.
|
| |
-
MGMT 700 - Continuous Registration
Credits: Variable
Required for maintenance of matriculated status in graduate program. No credit toward graduate degree requirements.
|
Mgmt Info Systems |
| |
-
MIS 311 - Information Systems & Application
Credits: 3
The effective deployment of information technologies and computer-based information systems has strategically enabled enterprises to achieve and maintain competitive advantage. This course is an introduction to the technologies, applications, and management of Information Systems (IS) in organizations. It is designed to provide the necessary framework to guide you to understand and effectively address the issues pertaining to the discipline of Management Information Systems (MIS). The main objectives for the course are (1) to understand about IS and how it relates to the business, and (2) learn the concepts/frameworks to build the tools and decision making to succeed in the technology enabled future. This course will introduce you to the principles of information systems as they are applied to business. The course is organized around three modules: (1) Business Driven IS (2) Technical Foundations of IS, and (3) Enterprise IS. As a result of this course, you will be able to: appreciate and explain the strategic role of IS in all types of organizations; examine how an organization can create business value from IS; understand globalization and the role information systems has played in this evolution; identify and explain current and future types of organizational uses of IS; be aware of the ethical issues, privacy, and security concerns in using IS; demonstrate improvement in your analytical abilities, critical thinking, data/digital skills, and writing skills; and determine whether you are interested in pursuing an IS-oriented career. Corequisites: CQS 311. Offered fall and spring semesters.
Prerequisites Sophomore standing.
|
| |
-
MIS 323 - Systems Analysis & Specification
Credits: 4
Thi course provides an introduction to the systems development and modification process. Students are taught the principles of high-quality information requirements determination and specification in approaching a project (i.e., effective communication with stakeholders in systems development and maintenance and appropriate documentation standards). It enables students to choose and adapt system development methodologies.Topics covered include: analyzing the business case, requirements modeling, data and process modeling, and development strategies with a focus on project management. Students also learn about output and user interface design, data storage design, systems architecture and implementation, and systems operation, support, and security. Offered fall and spring semesters
Prerequisites MIS 311
|
| |
-
MIS 325 - Essentials of Programming
Credits: 4
Given the highly digitized environment we live in, organizations are increasingly recognizing the need for programming literacy to leverage computing devices and data-processing applications to improve their performance. Therefore, programming and data analysis are becoming the necessities of today’s highly competitive business environment. This course focuses on the essentials of programming in Python, a powerful and general-purpose programming language that many businesses expect their recruits to be competent in. The course will cover a variety of general programming topics such as data structures, decision controls, loops, and functions. It will also cover popular Python libraries such as numpy, pandas, and matplotlib. The course will prepare students to develop programs that solve real-world problems. Students registering for this course should be prepared for an intense but manageable workload.
|
| |
-
MIS 333 - Database Management Systems
Credits: 4
This course introduces the technologies behind database systems development and implementation, focusing on the relational data model, data modeling concepts, database development lifecycle, and principles of effective database design. Students will gain hands-on experience constructing database applications through exposure to popular database management systems, data modeling tools for drawing data models, and structured query language (SQL) for creating, manipulating, managing, and retrieving data from relational databases. Students will apply database design concepts through projects and explore advanced topics such as database security, administration, and optimization. Prerequisites: MIS 311. Offered in the Spring semester.
Prerequisites MIS 311
|
| |
-
MIS 425 - Web Application Development
Credits: 4
This course introduces students to the fundamental concepts and implementation of e-business. The two major objectives of the course are: 1) To learn web design details with HTML and major web design tools. The variety of resources and web fundamentals are introduced with in-class exercises and assignments. 2) To learn a variety of e-business concepts such as online retailing, online consumer behavior, online customer service, online customer relationship management, business to business e-commerce and collaborative commerce. Students also learn about web design, technologies and strategies required to implement these e-business concepts. Prerequisites: MIS 311. semesters
Prerequisites MIS 311
|
| |
-
MIS 450 - IT Security and Forensics
Credits: 4
The first part of the course covers description of different security technologies including firewalls, intrusion detection, and cryptography and identification of potential threats such as malicious software, social engineering, spoofing, and phishing. Students will also learn about managerial aspects including information security policies, security management models and practices, and risk management. The second part of the course covers technical and legal aspects of conducting computer forensic analysis and investigation. Topics include requirements of processing crime scenes, investigation of digital evidence (computers, laptops, etc.), network forensics, e-mail investigation, report writing, and expert testimony in high-tech investigations. Pre-requiste: MIS 311. semesters.
Prerequisites MIS 311
|
| |
-
MIS 460 - E-Business
Credits: 4
In the rapidly evolving landscape of the modern business environment, the ability of enterprises to thrive is intrinsically tied to their adeptness in navigating the digital realm. The fusion of technology with user-centric design has emerged as the cornerstone of success for digital businesses across industries. This course serves as an immersive expedition into the dynamic domain of e-business, affording students an unparalleled opportunity to delve into the intricate art of fashioning captivating and user-centric online interactions. The focal point of this course is to unveil the pivotal role wielded by User Experience (UX) design in orchestrating customer satisfaction, digital engagement, and ultimately, the expansion of a business’s horizons. Students will unravel the layers of UX design’s significance, understanding how it functions as the linchpin connecting a business with its audience on the digital stage. From dissecting user behavior to mastering the nuances of interface aesthetics, students will embark on a journey that converges the realms of psychology, technology, and design. Through a blend of theoretical knowledge and practical application, this course equips students with the tools and insights necessary to craft exceptional digital journeys, Prerequisites: MIS 311. semesters.
Prerequisites MIS 311
|
| |
-
MIS 473 - Information Systems Project
Credits: 4
Capstone course in information systems development. Students participate in a realistic case-study project in the analysis, design and/or implementation of a system emphasizing material from other MIS courses. Includes a survey of proper information system project management techniques. Qualifies students to be productive entry-level members of an industry project team. Prerequisites: MIS 311 and MIS 323. semester.
Prerequisites MIS 311 and MIS 323
|
| |
-
MIS 480E - Advanced Spreadsheeting
Credits: 4
This course focuses on using advanced features of Microsoft Excel to create efficient spreadsheet models and analyze real-world business problems. Because a spreadsheet can be a part of a bigger Information System, Excel can be used as a tool for pre-processing data or integrate with other tools such as databases. Moreover, Visual Basic for Applications built into Excel allows us to develop programs to perform tasks that are not available from the standard Excel interface (buttons and command). Course topics include: an introduction to MIS problem solving approach (e.g. efficient & flexible spreadsheet design), determining effective data display with charts and linking & consolidating worksheets, text functions & formulas (including formulas manipulate text, look up values, array formulas and etc.), data screening & validation, locating & managing data with reference functions, troubleshooting & customizing workbooks with macro, visual basic programming and other advanced tools, and data analysis (e.g. Excel Toolpak & basic statistics). Although certain level of familiarity with programming is preferred, such skills are not required. Most programming will be taught from the scratch. The course is designed to be extremely practical, and the skills learned from the class can be put to immediate use in other classes, the workplace, and almost all other areas. Students from all concentrations are encouraged to take the course, and the advanced skills stressed repeatedly by recruiters will be covered in this class. Prerequistes: CQS 311 and MIS 311. Junior or higher standing. Traditionally offered in the Spring and Fall semester.
Prerequisites CQS 311 and MIS 311, and junior or higher standing.
|
| |
-
MIS 480F - IT for Business Analytics
Credits: 4
The class focuses on the technology component of business analytics; more specifically storing, processing, and accessing data for the purpose of business analytics. The majority of the class explores variety of technology solutions for big data on cloud infrastructure. The first part of the class focuses on comparing/contrasting relational databases, in-memory databases, and NoSQL databases, virtualization, and basics of parallel computing and cluster computing. The second part of the class covers alternative database models including column, key-value, graph, and document. The last part of the class focuses on data processing languages and distributed machine learning technologies. At the end of the class, students will have hands-on experience with distributed file systems, various NoSQL databases, and virtualization solutions for the purpose of preparing data for business analytics. Pre-reqs: MIS 311
Prerequisites MIS 311
|
| |
-
MIS 480G - Introduction to Cybersecurity
Credits: 4
This course offers an innovative hands-on opportunity to develop cybersecurity, leadership, project management and team work skills on a weekly basis.
This is a great opportunity to get hands-on experience in the dynamic field of cybersecurity and develop relationships, differentiate yourself, and demonstrate your communication, technical, and problem-solving skill sets. Prereq MIS 311. offered in fall semester. This course can only be used as 4th MIS concentration elective.
Prerequisites MIS 311
|
| |
-
MIS 480H - Web Mining / Social Network Analysis
Credits: 4
This course focuses on modeling methods and IT tools to automatically collect and analyze large volumes of data from web pages and social media sites for descriptive and predictive analysis. This course provides an overview of measures, models, and analysis methods used to study social networks to further business interests within organizations using internal and external social media data sources. Students will also learn programming languages for data collection and analysis. Offered in the Fall semester.
Prerequisites MIS 311 and CQS 311
|
| |
-
MIS 480J - Introduction to Machine Learning
Credits: 4
Machine learning is the field dedicated to enabling computers to learn from data and execute tasks without explicit programming instructions. Its widespread adoption is so ingrained in modern life that we often utilize it unknowingly. This course offers an introduction to machine learning methodologies, encompassing classic supervised and unsupervised algorithms, all geared toward harnessing data for predictive analysis. Throughout this course, you will acquire proficiency in utilizing no-code/low-code environments, such as KNIME, for constructing, training, and deploying machine learning workflows to tackle real-world predictive challenges. It is an excellent choice for both beginners and intermediate learners interested in comprehending machine learning concepts and data engineering. By the course’s conclusion, you should have a firm grasp of machine learning fundamentals without the need for coding or extensive mathematical calculations. Although no prior knowledge of machine learning or programming is required, students should possess a basic understanding of calculus, probability theory, and linear algebra. No background knowledge of programming is required.
Prerequisites MIS 311 and CQS 311
|
| |
-
MIS 480K - Blockchain Technology & Applications
Credits: 4
The goal of this course is to enable studentd to conceptualize, evaluate, and build applications of blockchain technology in business and other domains. The class will focus on (a) demystifying blockchain technology by studying the Bitcoin blockchain, (b) understanding the Ethereum network for building general-purpose applications that use blockchain technology, and (c) building smart contracts on the Ethereum network using a beginner-friendly programming language called Solidity.
|
| |
-
MIS 480L - Data Science Project
Credits: 4
Data Science is a growing field that combines scientific techniques, processes, algorithms and technology to extract knowledge and help drive decisions. This course provides an understanding of how Data Science supports business objectives and decision makers. The primary focus is to understand the Data Science Process and its principles, understand how to convey information and work with technologies to help provide your audience with an understanding of your results. This course will cover what it means to be a Data Scientist. We will start with an overview of Data Science. Next, we will talk about designing and understanding experiments in data. We will delve into the art of Data Science with such concepts as data collection, handling, analyzing, visualizing, interpreting results and making decisions. Finally, the class will work on a semester-long team based project based on data science. This class will focus on how to work with data. It is backed by technology and there is an expectation to work with technology, but the primary focus is on organizing data projects, defining objectives and conveying results including factors such as bias, privacy and ethics. Prereq CQS 311
Prerequisites CQS 311
|
| |
-
MIS 480M - IT Audit
Credits: 4
|
| |
-
MIS 480N - Emerging Issues in Cyber Security
Credits: 4
IT security and forensics safeguard valuable information circulating across departments within institutions as well as the information flows among organizations and other entities like business partners and suppliers. This course will equip studens with key understandings and knowledge about the importance and major features of emerging technologies including applied artificial intelligence and big data. Students will learn about the role of cyber security and information assurance concerns, how to spot cyber security issues and what can be possible solutions for those issues, and how cyber security approaches can be used to strengthen emerging technologies and ensure business stakeholders are protected. Finally, students will be prepared to use state-of-the-art advanced analytical techniques in the area of social cybersecurity (e.g., identification of misinformation/disinformation or data breach incidents).
|
| |
-
MIS 523 - Information Systems Analysis & Specification
Credits: 4
This course provides an understanding of the systems development and modification process. It enables students to choose and adapt system development methodologies. In approaching a project, this course teaches students the principles of high-quality information requirements determination and specification through effective communication with users and all other stakeholders in systems development and maintenance and appropriate documentation standards. Participatory approaches like JAD, SSM, ETHICS or prototyping are emphasized. SOM grad student only. Offered in Fall.
|
| |
-
MIS 525 - Essentials of Programming
Credits: 4
Given the highly digitized environment we live in, organizations are increasingly recognizing the need for programming literacy to leverage computing devices and data-processing applications to improve their performance. Therefore, programming and data analysis are becoming the necessities of today’s highly competitive business environment. This course focuses on the essentials of programming in Python, a powerful and general-purpose programming language that many businesses expect their recruits to be competent in. The course will cover a variety of general programming topics such as data structures, decision controls, loops, and functions. It will also cover popular Python libraries such as numpy, pandas, and matplotlib. The course will prepare students to develop programs that solve real-world problems. Students registering for this course should be prepared for an intense but manageable workload.
|
| |
-
MIS 533 - Database Management Systems
Credits: 4
This course introduces the technologies behind database systems development and implementation, focusing on the relational data model, data modeling concepts, database development lifecycle, and principles of effective database design. Students will gain hands-on experience constructing database applications through exposure to popular database management systems, data modeling tools for drawing data models, and structured query language (SQL) for creating, manipulating, managing, and retrieving data from relational databases. Students will apply database design concepts through projects and explore advanced topics such as database security, administration, and optimization. School of Management grad students only. Prerequisites: MGMT 500. Offered in the Spring semester.
Prerequisites MGMT 500
|
| |
-
MIS 550 - IT Security & Forensics
Credits: 4
The popularity and convenience of the globally connected internet and applications makes issues of securing information flows of utmost importance. Regardless of your role in a business, proper knowledge and understanding of IT secruity issues helps you to prevent damage to stakeholders and evaluate the effectiveness of current security protocols. Throughout this course students will learn about key concepts related to information systems and information technology; the role of IT security and forensics in the age of emerging technologies; information security risks, threats, and harms (i.e., cyber-attacks, data breaches, and SQL injections); how to solve network security issues using tools such as encryption, firewall configuration, etc.; and the basics of conducting IT forensics and security investigations. Emphasis is on students understanding the managerial aspects of IT security including information security policies, security management models and practices, and risk management. Offered Spring semesters.
Prerequisites MGMT 500
|
| |
-
MIS 573 - Information Systems Project
Credits: 4
This course is a capstone course in information systems development, where students will tudents work on a real-life project in the analysis, design and implementation of a system to address an actual problem. Proper project management skills are also emphasized. Completion of this course qualifies students to be productive members of an industry project team. School of Management graduate students only. Prerequisite: MGMT 500. Traditianally offered in the Spring semester.
Prerequisites MGMT 500
|
| |
-
MIS 580E - Advanced Spreadsheeting
Credits: 4
This course focuses on using advanced features of Microsoft Excel to create efficient spreadsheet models and analyze real-world business problems. Because a spreadsheet can be a part of a bigger Information System, Excel can be used as a tool for pre-processing data or integrate with other tools such as databases. Moreover, Visual Basic for Applications built into Excel allows us to develop programs to perform tasks that are not available from the standard Excel interface (buttons and command). Course topics include: an introduction to MIS problem solving approach (e.g, efficient and flexible spreadsheet design), determining effective data display with charts and linking and consolidating worksheets, text functions and formulas, data screening and validation, locating and managing data with reference functions, troubleshooting and customizing workbooks with macro, visual basic programming and other advanced tools, and data analysis. Although certain level of familiarity with programming is preferred, such skills are not required. Prerequisite: MGMT 500. School of management graduate students only. Traditionally offered in the fall and spring semesters.
Prerequisites MGMT 500
|
| |
-
MIS 580G - Introduction to Cybersecurity
Credits: 4
This course offers an innovative hands-on opportunity to develop cybersecurity, leadership, project management, and teamwork skills while working closely with Deloitte client-serving professionals on a weekly basis. The target audience of this program are students interested in Cyber Risk Management. This is a great opportunity to get hands-on experience in the dynamic field of cybersecurity and develop relationships, differentiate yourself, and demonstrate your communication, technical, and problem-solving skill sets.
|
| |
-
MIS 580H - Web Mining / Social Network Analysis
Credits: 4
This course focuses on modeling methods and IT tools to automatically collect and analyze large volumes of data from web pages and social media sites for descriptive and predictive analysis. This course provides an overview of measures, models, and analysis methods used to study social networks to further business interests within organizations using internal and external social media data sources. Students will also learn programming languages for data collection and analysis. Offered in the Fall semester. Recommended prerequisites: MGMT 504.
|
| |
-
MIS 580I - Introduction to Data Science
Credits: 4
Introduction to Data Science provides an overview of what it means to be a Data Scientist. This course not only addresses the technical aspects of working with Big Data, but will also cover some of the less technical aspects such as data privacy. The course tackles each aspect of being a Data Scientist including the Data Science Process of: Designing an Experiment, Collecting and Sourcing Data, Handling that Data, Performing Analysis on the Data and then Telling the Story about the data to help drive decisions while using tools that are common in today’s marketplace.
Prerequisite of MIS 311 (this is for undergrad description only
|
| |
-
MIS 580J - Introduction to Machine Learning
Credits: 4
Machine learning is the field dedicated to enabling computers to learn from data and execute tasks without explicit programming instructions. Its widespread adoption is so ingrained in modern life that we often utilize it unknowingly. This course offers an introduction to machine learning methodologies, encompassing classic supervised and unsupervised algorithms, all geared toward harnessing data for predictive analysis. Throughout this course, you will acquire proficiency in utilizing no-code/low-code environments, such as KNIME, for constructing, training, and deploying machine learning workflows to tackle real-world predictive challenges. It is an excellent choice for both beginners and intermediate learners interested in comprehending machine learning concepts and data engineering. By the course’s conclusion, you should have a firm grasp of machine learning fundamentals without the need for coding or extensive mathematical calculations. Although no prior knowledge of machine learning or programming is required, students should possess a basic understanding of calculus, probability theory, and linear algebra. No background knowledge of programming is required. Recommended Prerequisites Calculus and Statistics.
|
| |
-
MIS 580K - Blockchain Technology & Applications
Credits: 4
The goal of this course is to enable studentd to conceptualize, evaluate, and build applications of blockchain technology in business and other domains. The class will focus on (a) demystifying blockchain technology by studying the Bitcoin blockchain, (b) understanding the Ethereum network for building general-purpose applications that use blockchain technology, and (c) building smart contracts on the Ethereum network using a beginner-friendly programming language called Solidity.
|
| |
-
MIS 580L - Data Science Project
Credits: 4
Data Science is a growing field that combines scientific techniques, processes, algorithms and technology to extract knowledge and help drive decisions. This course provides an understanding of how Data Science supports business objectives and decision makers. The primary focus is to understand the Data Science Process and its principles, understand how to convey information and work with technologies to help provide your audience with an understanding of your results. This course will cover what it means to be a Data Scientist. We will start with an overview of Data Science. Next, we will talk about designing and understanding experiments in data. We will delve into the art of Data Science with such concepts as data collection, handling, analyzing, visualizing, interpreting results and making decisions. Finally, the class will work on a semester-long team based project based on data science. This class will focus on how to work with data. It is backed by technology and there is an expectation to work with technology, but the primary focus is on organizing data projects, defining objectives and conveying results including factors such as bias, privacy and ethics. Prerequisite Data Science is a growing field that combines scientific techniques, processes, algorithms and technology to extract knowledge and help drive decisions. This course provides an understanding of how Data Science supports business objectives and decision makers. The primary focus is to understand the Data Science Process and its principles, understand how to convey information and work with technologies to help provide your audience with an understanding of your results. Prerequisite MGMT 504, MIS 525 or prior python programming (see your advisor)
Prerequisites MGMT 504, MIS 525 or prior Python programming (see your advisor).
|
| |
Page: 1 <- Back 10 … 55
| 56
| 57
| 58
| 59
| 60
| 61
| 62
| 63
| 64
| 65
… Forward 10 -> 86 |