UNI194 Problem Solving TechniquesIstinye UniversityDegree Programs Computer Programming (Evening Education)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Computer Programming (Evening Education)

Preview

Associate TR-NQF-HE: Level 5 QF-EHEA: Short Cycle EQF-LLL: Level 5

Course Introduction and Application Information

Course Code: UNI194
Course Name: Problem Solving Techniques
Semester: Fall
Course Credits:
ECTS
5
Language of instruction: Turkish
Course Condition:
Does the Course Require Work Experience?: No
Type of course: University Elective
Course Level:
Associate TR-NQF-HE:5. Master`s Degree QF-EHEA:Short Cycle EQF-LLL:5. Master`s Degree
Mode of Delivery: E-Learning
Course Coordinator: Dr. Öğr. Üy. TAYFUN UTAŞ
Course Lecturer(s): Asst.Prof. Üyesi Tayfun Utaş
Course Assistants:

Course Objective and Content

Course Objectives: This course aims to ensure the smooth flow of the process in product and service processes and to transform it into a culture. This course is to teach students how to prevent and manage the probabilities of problems proactively without problems, instead of understanding the solution after the problem occurs. In addition to teaching modern techniques, the course teaches how to manage as a team by taking into account the basic elements of human management, and to place the culture of integration.
Course Content: Problems , matrix systems, team work , problem solving tools , quality tools

Learning Outcomes

The students who have succeeded in this course;
1) problem solving
2) team works
3) systems

Course Flow Plan

Week Subject Related Preparation
1) what is thE PROBLEM ? PC power point presendations
2) Problem solving systems "
3) Decision Making "
4) Lean tools "
5) KAİZEN A3 management "
6) Proces Mnagement "
7) midterm
8) Statistic 7 tool "
9) Statsitic "
10) project management "
11) lean value map workshop "
12) lean value maping workshop -2 "
13) lidership "
14) FMEA "
15) FİNAL EXAM

Sources

Course Notes / Textbooks: Sunuşlar /presendation
References: 7 KALİTE ARACI , SEVEN QUALİTY TOOLS . CA ISBN : 6904464660-56 M.ALTUR

Course - Program Learning Outcome Relationship

Course Learning Outcomes

1

2

3

Program Outcomes
1) He gains the ability of problem solving and analytical thinking skills.
2) He learns the fundamentals of computer programming, hardware and software and the basic computer concepts.
3) He develops algorithms according to the problems, gains the ability to distinguish the appropriate ones from the fundamental algorithms for the problem.
4) He understands object-oriented programming concept and web programming.
5) He learns radix systems, fundamental electronics and computer hardware knowledge.
6) He gains mobile programming skills and develops applications for mobile platforms.
7) He designs and codes databases.
8) He learns to program and use computer networks, open source operating systems.
9) He uses the English language effectively.
10) He learns to use appropriate data structures according to programming requirements.
11) He develops software individually or as a team.
12) He follows developments in the field, high technology tools / applications.
13) He gains awareness of professional and ethical responsibility and has an awareness of professional ethics.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) He gains the ability of problem solving and analytical thinking skills. 1
2) He learns the fundamentals of computer programming, hardware and software and the basic computer concepts. 1
3) He develops algorithms according to the problems, gains the ability to distinguish the appropriate ones from the fundamental algorithms for the problem. 1
4) He understands object-oriented programming concept and web programming. 2
5) He learns radix systems, fundamental electronics and computer hardware knowledge. 2
6) He gains mobile programming skills and develops applications for mobile platforms. 2
7) He designs and codes databases. 2
8) He learns to program and use computer networks, open source operating systems. 2
9) He uses the English language effectively. 1
10) He learns to use appropriate data structures according to programming requirements. 1
11) He develops software individually or as a team. 2
12) He follows developments in the field, high technology tools / applications. 2
13) He gains awareness of professional and ethical responsibility and has an awareness of professional ethics. 2

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Project 1 % 50
Midterms 1 % 20
Final 1 % 30
total % 100
PERCENTAGE OF SEMESTER WORK % 70
PERCENTAGE OF FINAL WORK % 30
total % 100

Workload and ECTS Credit Calculation

Activities Number of Activities Preparation for the Activity Spent for the Activity Itself Completing the Activity Requirements Workload
Course Hours 14 0 3 42
Project 1 50 50
Midterms 1 0 10 10
Final 1 20 20
Total Workload 122