Results 1 - 5 of 5 Courses

Commerce
College of Commerce

KEY TO COURSE
DESCRIPTIONS
Commerce > 100-level
UNDERGRADUATE DEGREE COURSES

General Commerce Courses

COMM 101.3
Registration Info — 2003-2004 Regular Session» Introduction to Business
1/2(3L)

Successful enterprises must effectively integrate a variety of managerial processes and functions within the organization, while also maintaining effective relationships with key stakeholder groups. This course assists students to develop an understanding of the issues affecting business, the complex web of interrelationships involved in successfully dealing with these issues, and the organizational and managerial challenges involved in managing contemporary business organizations.

COMM 102.3
Registration Info — 2003-2004 Regular Session» Introduction to Business Management
1/2(3L)

Examines the processes of management including environment and business analysis, planning, decision making, execution, and performance measurement. This course will make major use of case analyses, simulations, organizational audits or other forms of pedagogy that allow the student to assume the role of manager of the organization.

Note: May not be used for credit toward the B.Comm degree.

COMM 109.0
Registration Info — 2003-2004 Regular Session» Library Research I

Introduces students to the University of Saskatchewan libraries and to the wide variety of electronic resources available to them.

COMM 110.0
Registration Info — 2003-2004 Regular Session» Computer Skills

Introduces students to the computer skills necessary to successfully use computers and software in upper year courses. Consists of three (3) modules: General Computing, Spreadsheets and Word Processing.


Quantitative Analysis

COMM 104.3
Registration Info — 2003-2004 Regular Session» Statistics I
1/2(3L)
Prerequisite(s): MATH 110.

Descriptive statistics, index numbers, probability concepts, probability distributions, sampling distributions, statistical inference - estimation and hypothesis testing. Introduction to time series forecasting (moving averages and exponential smoothing).

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