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
  • Introduction to Computer Engineering
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title BİM105 - Introduction to Computer Engineering
Course Type Required Courses
Language of Instruction İngilizce
Laboratory + Practice 2+0
ECTS 2.0
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ SEMA CANDEMİR
Mode of Delivery Face to Face
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended This is an introductory course. There are no recommended courses.
Recommended Reading List ---
Assessment methods and criteria 1 Midterm, 1 kısa sınav, 1 Final exam
Work Placement Classroom
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction to Computers: This week we will cover the basics of computers, components and how they function.
Week - 2 Introduction to Computer Hardware: Students will have a general view of computer hardware, components like CPU, memory, storage devices, input-output devices and their functions.
Week - 3 Data and Storage: This week, students will focus on how computers store information. They will also learn to manipulate data.
Week - 4 Introduction to Computer Software: This week will contain a brief introduction to programming.
Week - 5 Introduction to Operating Systems: This week introduces students the role of operating systems in managing computer hardware and software resources. They will learn how operating systems interact with users and applications.
Week - 6 Introduction to Artificial Intelligence: This week students will learn basic concepts of machine learning, computer vision and image processing.
Week - 7 Introduction to Artificial Intelligence cont. This week students will learn basic concepts of machine learning, computer vision and image processing.
Week - 8 Introduction to Data Science: Students will cover topics such as data analysis, visualization and interpretation.
Week - 9 Internet: Students will learn how the internet works, including how computers communicate and connected through protocols.
Week - 10 Introduction to Computer Networks: The students will be introduced to fundamental concepts of computer networks.
Week - 11 Introduction to Databases: In this lecture, students will explore the fundamental concepts of databases.
Week - 12 Introduction to Security: In this lecture, students will learn about the fundamental concepts of security, types of attacks, and the role of encryption.
Week - 13 Computing Theory and Introduction to Algorithm Analysis: This week cover theoretical concepts in algorithms and data structures.
Week - 14 Academic Ethics and Responsibilities.

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Question & Answer
  • Case Study
  • Competences
  • Rational
  • Questoning
  • Follow ethical and moral rules

Assessment Methods

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