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  Course Description
Course Name : Investment Analysis in Agricultural Mechanization

Course Code : TM-582

Course Type : Optional

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Spring (16 Weeks)

ECTS : 6

Name of Lecturer(s) : Assoc.Prof.Dr. SAİT MUHARREM SAY

Learning Outcomes of the Course : Having information on economic efficiency methods and equations.
Having information and application ability on principles of alternative investment comparisons.
Having solution ability for case problems from field by using theorical information.

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : OPTIONAL COURSES

Recommended Optional Programme Components : None

Aim(s) of Course : Performing profitability analysis of agricultural mecanization investments by using engineering economics approach.

Course Contents : Giving information on economic efficiency and related equations. Giving information on comparison principles of alternative investments. Case studies on agricultural mechanization investments.

Language of Instruction : Turkish

Work Place : Classroom


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Evaluation of general properties of agricultural mechanization investments Related subjects in proposed references. Computer Generated Slide Presentation.
2 Decision making procedures for investment analysis (engineering economics equations) Related subjects in proposed references. Computer Generated Slide Presentation.
3 Decision making procedures for investment analysis (engineering economics equations) Related subjects in proposed references. Computer Generated Slide Presentation.
4 Details of profitability and efficiency for investments (engineering economics equations) Related subjects in proposed references. Computer Generated Slide Presentation.
5 Details of profitability and efficiency for investments (engineering economics equations) Related subjects in proposed references. Computer Generated Slide Presentation.
6 Fundamental and principles of different investment alternatives (engineering economics equations) Related subjects in proposed references. Computer Generated Slide Presentation.
7 Fundamental and principles of different investment alternatives (engineering economics equations) Related subjects in proposed references. Computer Generated Slide Presentation.
8 Concept of risk and uncertainty Related subjects in proposed references. Computer Generated Slide Presentation.
9 Concept of risk and uncertainty Related subjects in proposed references. Computer Generated Slide Presentation.
10 Reporting for the investment evaluaiton and documentation Related subjects in proposed references. Computer Generated Slide Presentation.
11 Case studies from differend data set and student´s project evaluation Related subjects in proposed references. Computer Generated Slide Presentation.
12 MID-TERM EXAM
13 Case studies from differend data set and student´s project evaluation Related subjects in proposed references. Computer Generated Slide Presentation.
14 Case studies from differend data set and student´s project evaluation Related subjects in proposed references. Computer Generated Slide Presentation.
15 Case studies from differend data set and student´s project evaluation Related subjects in proposed references. Computer Generated Slide Presentation.
16/17 FINAL EXAM


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  
 Modern Engineering Economy. D. Young. John Wiley & Sons, inc.
Required Course Material(s)  


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 60
    Homeworks/Projects/Others 3 40
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Bachelor´s degree enables graduates to expand and deepen their knowledge, access knowledge through scientific research, information, evaluation, interpretation, and application 3
2 To be able to enhance knowledge by using limited or incomplete data, and be able to put this knowledge to good use scientifically, ethically and responsibly. 2
3 To be able to transfer, orally or in written form, the findings and processes of their work to the related groups or other people systematically and clearly 3
4 To be able to come up with solutions to problems by working independently, put the solutions into actual use and make oral and written presentations 4
5 To be able to devise new strategic approaches in unanticipated complex situations and be able to think up solutions by taking reponsibility 3
6 To be able to assess the strategic performance of workgroups and contribute to them 0
7 To have computer software and hardware knowledge required by the profession and develop competence in information and communication technologies 0
8 To be qualified in data collection, interpretation and announcement phases in their fields in a scientific and ethical manner; to preserve, learn and check the data as required 2
9 To attain full oral and written competence, both in the mother tongue and in a foregin language, to help those working in and out of their field of speciality 0
10 To understand the impact of engineering solutions in a global and societal context and gain the ability to correctly interpret it 3
11 To conrtibute to the process of becoming an information society by making known social and cultural imrprovements in an academic and professional context 0
12 To be able to strategically take the lead in solving original and interdisciplinary problems 2
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 4 56
    Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
    Homeworks, Projects, Others 3 5 15
    Mid-term Exams (Written, Oral, etc.) 1 2 2
    Final Exam 1 2 2
Total Workload: 145
Total Workload / 25 (h): 5.8
ECTS Credit: 6