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 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 | |
| Supportive Courses | X |
| 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 | Have an advanced level of basic theoretical knowledge on the field of public finance in order to obtain the practical gains. | |||||
| 2 | Identify the issues related to the field of public finance by dealing with it within the framework of the methodological approach, and report and evaluate it from an analytical point of view. | |||||
| 3 | Understand, interpret and analyse economic and financial events, equipped with knowledge of certain disciplines, especially economics, business and law. | |||||
| 4 | Develop policies and strategies for solving the problems by establishing the cause-effect relationship related to fiscal and economic issues through theoretical information and the discussions. | |||||
| 5 | Establish the relationship of public financial management and budget theory with public policies, he/she makes strong budget analysis, develop analysis on public finance and makes a link with the policy implementation | |||||
| 6 | Understand the tax theory, learning the legal structure, following the legal and financial developments and gaining a professional competence in tax matters effectively develop it. | |||||
| 7 | Have knowledge of accounting systems in private and public institutions and businesses, analyze and interpret the financial and financial structure of institutions with the knowledge and competence gained. | |||||
| 8 | Gain knowledge of macroeconomic framework and growth theory, including theoretical and country examples, evaluates economic developments from a theoretical perspective. | |||||
| 9 | Use foreign language in financial and economic fields, follow international literature, communicate on professional issues. | |||||
| 10 | Benefit from technological developments in studies specific to its field by using information technologies, digital developments and common software. | |||||
| 11 | Use qualitative and quantitative methods for the analysis of economic, financial, social and institutional events. | |||||
| 12 | While fulfilling its academic and professional responsibilities, develop an approach that respects s United Nations sustainable development goals, freedoms, rights of the disadvantaged groups, environment, cultural and moral values. | |||||
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 | ||