The Syllabus on Info 3010
FREEMAN SCHOOL OF BUSINESS
INFO 3010-21 Business Modeling Spring 2012 Instructor: Professor Vadim Balashov Office: GWI 701 (7th floor) Office Hours: Monday/Wednesday 10:45AM – 11:30AM or by appointment Class Meeting Day & Time: Monday/Wednesday – 6:30PM – 7:45PM Course Description:
This course introduces students to the use of the computer as a business modeling tool. The overarching goal is to teach students to use computers to analyze models and data for integrated decision making across multiple domains including finance, marketing, accounting, strategy, and operations. The course proceeds in several parts: 1) Data Modeling - building on INFO 1010 and MATH 1140, the course will review data modeling in Excel; 2) Deterministic Modeling - the course will cover decision-making under uncertainty using optimization models such as linear programming. Problems such as portfolio optimization, transportation, assignment, set-covering, and scheduling are covered and the concepts of problem formulation and sensitivity analysis are introduced; 3) Spreadsheet Automation - concepts for programming in Excel will be introduced; and 4) Probabilistic Modeling decision making in an environment of uncertainty is covered using simulation and the principles of decision analysis. Students will also learn to choose the appropriate probability distribution for a given problem.
Office Phone: (504) 865-8475 E-mail: vbalasho@tulane.edu Blackboard Site: myTulane.blackboard.com Class Location: GWI 131
Course Prerequisites: MATH 1140 Course Goals This course is designed to teach students the elements of: Data Analysis; Spreadsheet modeling and optimization Models of deterministic linear programming Probability theory and expected value for decision making under uncertainty Visual Basic for Applications in Excel and for simulation analysis Student Learning Objectives: As the result of this course students should be able to: 1. Execute the 7-step modeling process in any relevant business
INFO 3010-21 Business Modeling Spring 2012 Instructor: Professor Vadim Balashov Office: GWI 701 (7th floor) Office Hours: Monday/Wednesday 10:45AM – 11:30AM or by appointment Class Meeting Day & Time: Monday/Wednesday – 6:30PM – 7:45PM Course Description:
This course introduces students to the use of the computer as a business modeling tool. The overarching goal is to teach students to use computers to analyze models and data for integrated decision making across multiple domains including finance, marketing, accounting, strategy, and operations. The course proceeds in several parts: 1) Data Modeling - building on INFO 1010 and MATH 1140, the course will review data modeling in Excel; 2) Deterministic Modeling - the course will cover decision-making under uncertainty using optimization models such as linear programming. Problems such as portfolio optimization, transportation, assignment, set-covering, and scheduling are covered and the concepts of problem formulation and sensitivity analysis are introduced; 3) Spreadsheet Automation - concepts for programming in Excel will be introduced; and 4) Probabilistic Modeling decision making in an environment of uncertainty is covered using simulation and the principles of decision analysis. Students will also learn to choose the appropriate probability distribution for a given problem.
Office Phone: (504) 865-8475 E-mail: vbalasho@tulane.edu Blackboard Site: myTulane.blackboard.com Class Location: GWI 131
Course Prerequisites: MATH 1140 Course Goals This course is designed to teach students the elements of: Data Analysis; Spreadsheet modeling and optimization Models of deterministic linear programming Probability theory and expected value for decision making under uncertainty Visual Basic for Applications in Excel and for simulation analysis Student Learning Objectives: As the result of this course students should be able to: 1. Execute the 7-step modeling process in any relevant business