ECTS - Engineering Cost Analysis

Engineering Cost Analysis (IE206) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Engineering Cost Analysis IE206 3 0 0 3 3
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Drill and Practice, Observation Case Study, Team/Group.
Course Coordinator
Course Lecturer(s)
  • Instructor Dr. Çağlar Utku GÜLER
Course Assistants
Course Objectives This course aims to provide the tools necessary to interpret and use accounting information related to the business environment, by concentration on the end uses of accounting information.
Course Learning Outcomes The students who succeeded in this course;
  • Students will recognize essential business and accounting terminology.
  • Students will become intelligent users of financial information in making critical business decisions.
  • Students will have the basic skills of financial statement analysis
  • Students will have a grasp of manufacturing costs and product costing.
Course Content Organization, measurement and interpretation of economic information; basics of financial accounting; cost concepts and costing techniques; cost-volume-profit analysis; budgeting.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction, Forms of organizations in Turkey, Basic Accounting Equation
2 Financial Statements: The account, Accounting System in Turkey
3 Accounting for Merchandizing Operations and inventories
4 Plant and intangible assets: Depreciation, methods used in Turkey
5 Midterm I
6 Long-term liabilities , stockholders’ equity, retained earnings
7 Financial Statement analysis
8 Cost Concepts
9 Cost-volume-profit analysis
10 Job Order Costing
11 Midterm II
12 Process costing
13 Activity Based Costing
14 Budgeting and variance
15 Final Examination Period
16 Final Examination Period

Sources

Course Book 1. Williams, Haka, Bettner, Financial and Managerial Accounting: The Basis for Business Decisions, McGraw Hill, 14th Edition, 2008.
Other Sources 2. Weygandt, J.J., Kieso, D.E., and Kimmel, P.D., Accounting Principles, 5th Edition, Wiley, 1998.
3. Can Şımga Muğan, Nazlı Hoşal Akman, Principles of Financial Accounting Conflux of International and Turkish Law, Akademi Yayın Evi, 2001.
4. Moriarity, S., and Allen, C.P., Cost Accounting, 3rd Edition, Wiley, 1991.
5. Horngren, C.T., and Foster, G., Cost Accounting A Management Emphasis, 11th Edition, Prentice Hall, 2002.
6. Needles, B.E., Powers, M., Caldwell, J.C., and Crosson, S.V., Principles of Accounting, 7th Edition, Houghton Mifflin, 1999.
7. Hollander, A., Cherrington, J.O., and Denna, E.L., Accounting, Information Technology, and Business Decisions, 2nd Edition, McGraw-Hill, 1999.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 2 5
Presentation - -
Project 1 10
Report - -
Seminar 2 50
Midterms Exams/Midterms Jury - -
Final Exam/Final Jury 1 35
Toplam 6 100
Percentage of Semester Work 65
Percentage of Final Work 35
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 Acquires sufficient knowledge in mathematics, natural sciences, and related engineering disciplines; gains the ability to use theoretical and applied knowledge in these fields in solving complex engineering problems. X
2 Gains the ability to identify, define, formulate, and solve complex engineering problems; acquires the skill to select and apply appropriate analysis and modeling methods for this purpose. X
3 Gains the ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions, and applies modern design methods for this purpose.
4 Develops the skills to develop, select, and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; gains the ability to effectively use information technologies.
5 Gains the ability to design experiments, conduct experiments, collect data, analyze and interpret results for the investigation of complex engineering problems or discipline-specific research topics. X
6 Acquires the ability to work effectively in intra-disciplinary and multidisciplinary teams, as well as individual work skills. X
7 Acquires effective oral and written communication skills in Turkish; at least one foreign language proficiency; gains the ability to write effective reports, understand written reports, prepare design and production reports, make effective presentations, and give and receive clear instructions. X
8 Develops awareness of the necessity of lifelong learning; gains the ability to access information, follow developments in science and technology, and continuously renew oneself.
9 Acquires the consciousness of adhering to ethical principles, and gains professional and ethical responsibility awareness. Gains knowledge about the standards used in industrial engineering applications.
10 Gains knowledge about practices in the business life such as project management, risk management, and change management. Develops awareness about entrepreneurship and innovation. Gains knowledge about sustainable development.
11 Gains knowledge about the universal and social dimensions of the impacts of industrial engineering applications on health, environment, and safety, as well as the problems reflected in the engineering field of the era. Gains awareness of the legal consequences of engineering solutions.
12 Gains skills in the design, development, implementation, and improvement of integrated systems involving human, material, information, equipment, and energy.
13 Gains knowledge about appropriate analytical and experimental methods, as well as computational methods, for ensuring system integration. X

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 16 1 16
Presentation/Seminar Prepration
Project
Report
Homework Assignments 2 2 4
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 2 4
Prepration of Final Exams/Final Jury 1 3 3
Total Workload 75