Venkatasubramanian Venkateswaran

Venkatasubramanian Venkateswaran

Clinical Associate Professor of Business Administration

  • Email

Contact

343P Wohlers Hall

1206 S. Sixth

Champaign, IL 61820

217-300-8235

vv11@illinois.edu

Listings

Educational Background

  • Ph.D., Operations Research, Case Western Reserve University, 1984
  • M.S.I.E., University of Wisconsin at Madison, 1979
  • BTech, Mechanical Engineering, Indian Institute of Technology at Madras, 1973

Positions Held

  • Clinical Associate Professor of Business Administration, Business Administration, University of Illinois, 2018 to present

Current Courses

  • Management Decision Models (BADM 374) Introduction to methods of operations research from an executive or managerial viewpoint, emphasizing formulation of business problems in quantitative terms; industrial applications of linear programming, dynamic programming, game theory, probability theory, queuing theory, and inventory theory.
  • Operations Management (BADM 375) Explores methods of design and management of manufacturing and service business processes; central concepts include managing process-speed, -capacity, -inventory, and -uncertainty; additional topics include simultaneous product and process design, and an introduction to quality management, process improvement and lean thinking.
  • Project Management (BADM 377) In-depth treatment of management concepts, tools, and techniques that apply to the organization, planning, and control of projects; particular emphasis on analyzing needs, defining work, scheduling tasks, allocating resources; assessing costs, managing risks; tracking and evaluating performance; and building and leading teams.
  • Communicating with Data (BADM 502) Making decisions in organizations often require data, an approach that is increasingly becoming critical with proliferation of data. Data has to be understood for insights, to aid in decision making or presented to others to persuade. This course will introduce concepts and techniques to understand and communicate data for insights and decision-making. Topics include types of data, data visualization, descriptive statistics, understanding and representing variation, multiple variables, time series and maps. The course will follow a practice based approach. 2 graduate hours. No professional credit.
  • Stat for Mgt Decision Making (BADM 572) The application of classical and modern statistics for business decision making. The level of the course assumes some prior knowledge of basic statistics as well as facility with elementary calculus.
  • Simulation and Risk Analysis (BADM 574) This course provides quantitative tools for solution of management problems involving risk, competing objectives, and complex constraints. The course will provide hands-on experience with techniques for solving these problems, with a particular emphasis on models and methods that enable managers to proactively manage and mitigate risk, obtain insight, and support decision making. Models are illustrated with applications to operations management, finance, and marketing, with a particular emphasis on issues associated with project portfolio management. Hands-on modeling skills are developed using spreadsheet-based software tools. We will consider challenges that executives and organizations encounter when implementing these approaches, and demonstrate how mathematical models can improve on "seat of the pants" methods.
  • Project Management (BADM 589) The objective of this course is to master the principles of efficient project planning and control - needs analysis, work breakdown, scheduling, resource allocation, risk management, and performance tracking and evaluation - within the timeframe and cost projections stated in the overview section. Concepts and techniques will be developed by navigating through a recent textbook in project management and through a popular project management software package. In addition, task teams of five members each will have the opportunity to hone skills through homework problem sets and a comprehensive project plan.
  • Operations Analysis (BADM 590) Special topics in the general area of business. Topics are selected by the instructor at the beginning of each term. Approved for letter and S/U grading. May be repeated if topics vary; unlimited credit hours for graduate and professional students.
  • Stats for Decision Analytics (MBA 501) Provides foundations in the form of principles, concepts, tools, and skills important both to the study of business and to the development of business acumen. Specific foundation topics include planning and measuring firm resources, economic theory of the firm, decision making under uncertainty, consumer behavior, financial management, business communication and computing. May be repeated in the same term. Credit is not given for MBA 501 and either ACCY 500, BADM 520, BADM 572, or ECON 567.

Contact

343P Wohlers Hall

1206 S. Sixth

Champaign, IL 61820

217-300-8235

vv11@illinois.edu