INTRODUCTION TO BUSINESS-I
- Course
- BUSN101 - INTRODUCTION TO BUSINESS-I
- Department
- Business Administration - English - Undergraduate
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 6
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- Asst. Prof. Dr. Japheth Ahmed NUHU
- Prerequisite
- -
- Keywords
Course Description
This course is designed to teach introductory business students fundamental knowledge about a business. For this purpose, understanding the contemporary business environment is a starting point. After briefly covering the business of managing, all functional areas of a business are discussed. Upon completion, students should be able to demonstrate an understanding of business concepts as a foundation for studying other business subjects. The students will be able to identify potential marketing opportunities, relate how business institutions are operated nowadays, and describe business ownership forms. The course is also designed to expose students to the multitude of career fields in the area of business and it will also help them to obtain information about starting their own businesses, identifying basic long and short term planning techniques.
INTRODUCTION TO BUSINESS-I
Evaluation Tools (Active Term)
| Item | Type | Weight (%) |
|---|---|---|
| Assignment | Assignment | 30 |
| Midterm | Midterm | 30 |
| Final | Final | 40 |
| Total | 100 | |
Course outcomes
- 01 To explain the basic dynamics of business economics
- 02 To summarize business ethics and social responsibility
- 03 To classify small business, entrepreneurship and franchising
- 04 To summarize the nature of management
- 05 To describe organization, teamwork and communication
- 06 To categorize options for organizing businesses
- 07 To identify basics for managing for quality and competitiveness
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Dynamics of Business Economics |
| Week 2 | Dynamics of Business Economics |
| Week 3 | Business Ethics and Social Responsibility |
| Week 4 | Business Ethics and Social Responsibility |
| Week 5 | Business in a Borderless World |
| Week 6 | Business in a Borderless World |
| Week 7 | Options for Organizing Businesses |
| Week 8 | Midterm Week |
| Week 9 | Small Business, Entrepreneurship and Franchising |
| Week 10 | The Nature of Management |
| Week 11 | The Nature of Management |
| Week 12 | Organization, Teamwork and Communication |
| Week 13 | Organization, Teamwork and Communication |
| Week 14 | Managing for Quality and Competitiveness |
| Week 15 | FINAL EXAM |
Reference Books & Course Materials
- 01 Business: A Changing World, 12th Edition By Ferrell, Hirt, and Ferrell. McGraw-Hill, 2020.
Learning Outcomes
- L01 On successful completion of this course, students will have developed (5) knowledge and understanding of the nature of business and its environment. SOLO 5
- L02 To explain the basic dynamics of business economics SOLO 3
- L03 To summarize business ethics and social responsibility SOLO 4
- L04 To classify small business, entrepreneurship and franchising SOLO 3
- L05 To summarize the nature of management SOLO 4
- L06 To describe organization, teamwork and communication SOLO 3
- L07 To categorize options for organizing businesses SOLO 4
- L08 To identify basics for managing for quality and competitiveness SOLO 2
Program Outcomes
- P01 Apply data science principles and techniques to challenges in real life situations, and effectively communicate their solutions.
- P02 Identify and implement data analysis methodologies based on theoretical ideas, ethical code, and in-depth knowledge of the underlying data.
- P03 Analyze the guiding concepts and assessment procedures for information analysis in real-life applications.
- P04 Design and apply relevant data analysis models to find obscure solutions to business-related problems.
- P05 Utilize modern computing techniques to handle real-world problems characterized by massive amounts of data, such as parallel and distributed computing and machine learning.
- P06 Configure and administer the software tools required to efficiently produce usable information from any size of structured and unstructured datasets.
- P07 Administer or manage data science tools and techniques to organize and complete projects aimed at gaining useful insight from complex data.
- P08 Think critically and imaginatively, conceiving real-world issues from several angles, and work well in a variety of teams to solve issues cooperatively.
- P09 Be able to effectively integrate data‐based solutions into the user environment and help non-technical professionals in exploring, visualizing, and using these solutions
- P10 Understand their obligations under professional and ethical standards in relation to matters like data ownership and citation, data security and sensitivity and the privacy implications of data analysis.
Po-Lo Matrix
| LO | P01 | P02 | P03 | P04 | P05 | P06 | P07 | P08 | P09 | P10 | Average |
|---|---|---|---|---|---|---|---|---|---|---|---|
| L01 | 2 | 2 | 3 | 4 | 1 | 1 | 2 | 2 | 3 | 2 | 2.2 |
| L02 | 2 | 2 | 2 | 4 | 1 | 1 | 1 | 2 | 3 | 1 | 1.9 |
| L03 | 2 | 4 | 2 | 2 | 1 | 1 | 2 | 2 | 2 | 5 | 2.3 |
| L04 | 2 | 1 | 2 | 3 | 1 | 1 | 2 | 2 | 3 | 1 | 1.8 |
| L05 | 1 | 1 | 2 | 3 | 1 | 1 | 4 | 3 | 3 | 2 | 2.1 |
| L06 | 4 | 2 | 1 | 2 | 1 | 1 | 3 | 5 | 5 | 2 | 2.6 |
| L07 | 1 | 1 | 2 | 3 | 0 | 1 | 2 | 1 | 2 | 2 | 1.5 |
| L08 | 2 | 3 | 4 | 4 | 1 | 1 | 3 | 3 | 2 | 2 | 2.5 |