El Centro College - Fall 2019 Credit Classes for BUSI

BUSI 1301
(3 Credit Hours)

Course Description: This course provides a survey of economic systems, forms of business ownership, and considerations for running a business. Students will learn various aspects of business, management, and leadership functions; organizational considerations; and decision-making processes. Financial topics are introduced, including accounting, money and banking, and securities markets. Also included are discussions of business challenges in the legal and regulatory environment, business ethics, social responsibility, and international business. Emphasized is the dynamic role of business in everyday life. (3 Lec.)

BUSI 1307
(3 Credit Hours)

Course Description: Personal and family accounts, budgets and budgetary control, bank accounts, charge accounts, borrowing, investing, insurance, standards of living, renting or home ownership, and wills and trust plans. NOTE: This course is not part of the business field of study and may not transfer toward a degree in business. (3 Lec.)

BUSI 2301
(3 Credit Hours)

Prerequisite Recommended: High school coursework in U.S. history and government, or equivalent.

Course Description: The course provides the student with foundational information about the U.S. legal system and dispute resolution, and their impact on business. The major content areas will include general principles of law, the relationship of business and the U.S. Constitution, state and federal legal systems, the relationship between law and ethics, contracts, sales, torts, agency law, intellectual property, and business law in the global context. (3 Lec.)

BUSI 2305
(3 Credit Hours)

Prerequisite: MATH 1324 or MATH 1314; BCIS 1305 or 1405.

Course Description: Descriptive and inferential statistical techniques for business and economic decision-making. Topics include the collection, description, analysis, and summarization of data; probability; discrete and continuous random variables; the binomial and normal distributions; sampling distributions; tests of hypotheses; estimation and confidence intervals; linear regression; and correlation analysis. Statistical software is used to analyze data throughout the course. (3 Lec.)