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 | Technical 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 Lecturer(s) |
|
| 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;
|
| 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 | |
|---|---|
| Major Area Courses | X |
| 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 | Having the conceptual and applied knowledge about the basic functions of the business and gaining the ability to use the knowledge | |||||
| 2 | To be able to diagnose the problems related to the field of business, to use scientific approaches effectively in the solution of problems and decision-making processes. | |||||
| 3 | To be able to reveal and analyze the environmental, social, global effects and legal consequences of the applications related to the basic functions of the business. | |||||
| 4 | To be able to analyze information and reports that concern businesses at the national, regional and global level, to set strategic goals according to the results obtained | |||||
| 5 | Gain the ability to use, report and interpret Business Information Systems and sub-modules required by business management | X | ||||
| 6 | Planning necessary activities such as starting a new business with innovative and creative thinking and taking risks for the sustainability of the business, finding resources, making market analysis, preparing a business plan, and using the learned information in this direction. | |||||
| 7 | Being aware of the fact that the research and learning process continues throughout life, to be able to follow the scientific and technological developments related to the business, to support oneself and the organization in innovation and continuous development. | |||||
| 8 | To have the necessary leadership and managerial skills to achieve business objectives effectively and efficiently. | |||||
| 9 | To be able to conduct scientific research in the field of business and report the results of the research to be used in managerial decision-making processes. | |||||
| 10 | To be able to transfer information about the field of business using effective verbal, written and visual communication methods in the language of learning and professional English | |||||
| 11 | To be aware of professional ethics, environmental awareness, sustainability, social responsibility, cultural, social and universal values | |||||
| 12 | Working effectively with different disciplines or multicultural teams, taking responsibility, making risk analysis, adapting to change, critical thinking and using initiative in problem solving | |||||
| 13 | . | |||||
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 | ||