ECTS - Worksheets and Computer Applications in Accounting

Worksheets and Computer Applications in Accounting (ISL354) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Worksheets and Computer Applications in Accounting ISL354 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language Turkish
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Drill and Practice.
Course Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Burcu Nazlıoğlu
Course Assistants
Course Objectives This course aims to acquire students the skills required to conduct statistical analysis using the software packages Microsoft Excel and IBM SPSS.
Course Learning Outcomes The students who succeeded in this course;
  • To recognize the spreadsheet program in computer environment, create the desired document by learning
  • Using the spreadsheet program in computer environment, calculations can be made in the tables and repeat them able to arrange
  • Using the spreadsheet program in computer environment, create graphs linked to tables and edit as desired.
  • Using the spreadsheet program in computer environment, use ready functions and when required You will be able to change.
Course Content Main computer applications in the issues such as budgeting, cost-volume- profit analysis, consolidation, capital budgeting and time value of money applications.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Data summary, frequency distribution and histogram, scatter diagram and trendline, descriptive statistics in Excel Course material on Moodle
2 Data coding, data transfer from Excel to SPSS, data labels, value labels, compute and recode variable Course material on Moodle
3 Continuous variables, levels of measurement, independent and dependent variables, hypothesis construction, null and alternative hypotheses Course material on Moodle
4 Hypothesis testing, one-tailed and two-tailed testing, one-sample t-test Course material on Moodle
5 Independent samples t-test, paired samples t-test Course material on Moodle
6 Single-factor ANOVA, two-factor ANOVA Course material on Moodle
7 ANOVA interpretation, main and interaction effects Course material on Moodle
8 Midterm Exam
9 Likert scale, reliability analysis, factor analysis, KMO and Bartlett's tests Course material on Moodle
10 Rotation, factorization, item elimination and improving results Course material on Moodle
11 Calculating and saving factors as variables, interpreting factors Course material on Moodle
12 Correlation analysis, bivariate regression, linear regression graph interpretation Course material on Moodle
13 Multivariate regression, F-test, R-squared, value and significance of coefficients Course material on Moodle
14 Categorical independent variables, dummy variables, coding of dummy variables, interpretation dummy variables in multivariate regression Course material on Moodle

Sources

Other Sources 1. MS Excel
2. IBM SPSS

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 35
Presentation 1 10
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 25
Final Exam/Final Jury 1 30
Toplam 8 100
Percentage of Semester Work 70
Percentage of Final Work 30
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Acquiring the skills of understanding, explaining, and using the fundamental concepts and methods of economics
2 Acquiring the skills of macro level economic analysis
3 Acquiring the skills of micro level economic analysis
4 Understanding the formulation and implementation of economic policies at the local, national, regional, and/or global level
5 Learning different approaches on economic and related issues
6 Acquiring the quantitative and/or qualitative techniques in economic analysis
7 Improving the ability to use the modern software, hardware and/or technological devices
8 Developing intra-disciplinary and inter-disciplinary team work skills X
9 Acquiring an open-minded behavior through encouraging critical analysis, discussions, and/or life-long learning X
10 Adopting work ethic and social responsibility
11 Developing the skills of communication.
12 Improving the ability to effectively implement the knowledge and skills in at least one of the following areas: economic policy, public policy, international economic relations, industrial relations, monetary and financial affairs.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class
Presentation/Seminar Prepration 1 15 15
Project
Report
Homework Assignments 1 35 35
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 15 15
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 133