School/Faculty/Institute Faculty of Economics, Administrative and Social Sciences
Course Code BUS 101
Course Title in English Introduction to Business (Decision Making)
Course Title in Turkish İşletmeye Giriş (Karar Verme)
Language of Instruction EN
Type of Course Lecture
Level of Course Introductory
Semester Fall
Contact Hours per Week
Lecture: 2 Recitation: Lab: 2 Other:
Estimated Student Workload 147 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites None
Expected Prior Knowledge None
Co-requisites None
Registration Restrictions Only undergraduate students
Overall Educational Objective To learn various functional areas of business while using Microsoft Excel; to analyze and solve related business problems.
Course Description BUS 101 is a survey course designed to expose students in the Faculties of Economics, Administrative and Social Sciences to the various functional areas of business while using Microsoft Excel to analyze and solve related business problems.
Course Description in Turkish BUS 101 İktisadi, İdari ve Sosyal Bilimler Fakültesi ve Mühendislik Fakültesi öğrencilerine çeşitli iş vaka çalışmalarına Microsoft Excel programı yardımıyla analiz etme ve çözüm geliştirme yöntemleriyle işletmenin çeşitli fonksiyonel alanlarını tanıtıyor.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) exhibit skills to analyze exploratory data analysis
2) understand the various functional areas of business such as accounting, marketing, finance and operations
3) utilize Excel spreadsheets for modeling and decision making.
Program Learning Outcomes/Course Learning Outcomes 1 2 3
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology.
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation.
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes.
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts.
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline.
6) Internalization and dissemination of professional ethical standards.
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences.
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level).
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity.
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement.
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses.
12) Ability to acquire knowledge independently, and to plan one’s own learning.
13) Demonstration of advanced competence in the clarity and composition of written work and presentations.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. N
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. N
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. H Exam,HW,Participation
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. N
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. N
6) Internalization and dissemination of professional ethical standards. N
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. N
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). N
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. S Participation
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. S HW,Participation
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. N
12) Ability to acquire knowledge independently, and to plan one’s own learning. S Exam,HW
13) Demonstration of advanced competence in the clarity and composition of written work and presentations. H Exam,HW
Prepared by and Date , September 2017
Course Coordinator CEYHAN MUTLU
Semester Fall
Name of Instructor Asst. Prof. Dr. MERVE ÖZ

Course Contents

Week Subject
1) Introduction to Microsoft Office
2) Data Analysis
3) Data Analysis
4) Accounting Case
5) Accounting Case
6) Accounting Case
7) Accounting Case
8) Technological Forecasting Case
9) Technological Forecasting Case
10) Finance Case
11) Finance Case
12) Operation Case
13) Operation Case
14) Operation Case
15) Final Examination Period
16) Final Examination Period
Required/Recommended ReadingsLecture notes, and computer files (ppt, xls, doc, pdf, etc.) will be available for download from the learning management system, BlackBoard.
Teaching MethodsLectures for discussions, (computer) lab sessions for application
Homework and ProjectsIndividual homework’s and group assignments for each case
Laboratory WorkWeekly computer lab
Computer UseExtensive usage of Microsoft Excel
Other ActivitiesPresentations
Assessment Methods
Assessment Tools Count Weight
Attendance 1 % 10
Application 1 % 30
Quiz(zes) 1 % 60
TOTAL % 100
Course Administration

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 1 2 1 56
Laboratory 14 2 2 1 70
Project 7 2 1 21
Total Workload 147
Total Workload/25 5.9
ECTS 6