Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Engineering
  • Department of Computer Engineering (English)
  • Course Structure Diagram with Credits
  • Mathematical Tools for Computer Engineering
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title BİM3007 - Mathematical Tools for Computer Engineering
Course Type Required Courses
Language of Instruction İngilizce
Laboratory + Practice 3+0
ECTS 6.0
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ CAHİT PERKGÖZ
Mode of Delivery Face to face.
Prerequisites There are no prerequisites or co-requisites for this course.
Courses Recomended None.
Required or Recommended Resources 1. Gilbert Strang – Introduction to Linear Algebra2. Erwin Kreyszig – Advanced Engineering Mathematics3. Steven W. Smith – The Scientist and Engineer’s Guide to Digital Signal Processing
Recommended Reading List
Assessment methods and criteria Midterm Exam(s), Quizzes, Final Exam
Work Placement None.
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Vectors and Matrices
Week - 2 Properties and Transformations of Matrices
Week - 3 Matrix Factorizations
Week - 4 Multivariable Functions and Approximation
Week - 5 Matrix Based Differentiation Methods
Week - 6 Applications of Differentiation and Optimization
Week - 7 Constrained and Unconstrained Optimization
Week - 8 Signal and System Concepts
Week - 9 Linear Time Invariant Systems and Laplace Transform
Week - 10 Fourier Transform and Frequency Response
Week - 11 Difference Equations and Time Domain Solution Methods
Week - 12 Z-Transform and Discrete-Time System Analysis
Week - 13 Convolution and Correlation
Week - 14 Applications of Convolution and Filtering

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Drill - Practise
  • Problem Solving
  • Competences
  • Use time effectively
  • Eleştirel düşünebilme
  • Abstract analysis and synthesis
  • Problem solving
  • Applying theoretical knowledge into practice
  • Information Management
  • To work autonomously
  • Elementary computing skills
  • Decision making

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 20
Quiz 1 30
Final Exam 1 50
Toplam (%) 100
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