ACADEMICS
Course Details

ELE107 - Computers and Programming I

2022-2023 Fall term information
The course is not open this term
ELE107 - Computers and Programming I
Program Theoretýcal hours Practical hours Local credit ECTS credit
Undergraduate 3 0 3 6
Obligation : Must
Prerequisite courses : -
Concurrent courses : -
Delivery modes : Face-to-Face
Learning and teaching strategies : Lecture, Question and Answer, Problem Solving
Course objective : The purpose of this course is to introduce the students to fundamental concepts of computer hardware and software, and provide an adequate background for students to advance to other computer related areas.
Learning outcomes : A student who completes the course successfully will Understand the fundamental principles by which the computers operate. Identify and categorize the input/output devices, types of secondary storage media and know their functions. Identify and categorize the applications software and systems software and know their functions. Design algorithms by means of flow charts and pseudocode techniques. Have an understanding of the basics of working in a networked environment, security and privacy issues. Become familiar with computer terminology and be aware of the ethical and social issues when using computers.
Course content : History of computing and computers, Data representation, Number systems, Binary codes, Arithmetic operations, Boolean algebra and applications, Basic structure of a computer, Application software and multimedia, System software and the operating system, File systems and file management, The CPU and main memory, Input and output devices, Secondary storage, Computer architecture and organization concepts, Computer network concepts, The Internet and applications, Digital devices and digital media, Computer security and privacy, Programming and programming languages, Program development and structured programming, Databases and information system concepts.
References : 1. Evans A., Martin K., and Poatsy M.A., Technology In Action, Complete, 10/e, Prentice Hall, 2014.; 2. Beekman G. and Quinn B., Digital Planet: Tomorrow's Technology and You, Complete, 10/e, Prentice Hall, 2012.; 3. LaBerta C., Computers Are Your Future, Complete, 12/e, Prentice Hall, 2012.; 4. Brookshear G., Computer Science: An Overview, 11/e, Addison-Wesley, 2011.
Course Outline Weekly
Weeks Topics
1 Introduction. History of computing and computers.
2 Representation of numbers, text, symbols, images. Number systems, conversion between different bases. Binary codes for decimals, alphanumeric codes, error detection/correction, parity bit.
3 Unsigned binary arithmetic. Arithmetic in other bases. Complements. Signed number systems. Signed addition and subtraction. Binary logic, logic gates, truth tables, simplification. Logic circuits.
4 Basic structure of a computer: Input, output, processing, memory and storage.
5 Productivity and business software. Multimedia and entertainment software. Managing your software.
6 Operating system fundamentals. Functions of the operating system. The boot process. The Windows interface. File systems and file management. Utility programs.
7 CPU structure and operation, control unit, ALU, registers, executing program instructions. Main memory types and structures, memory hierarchy. Serial and parallel processing. Data and file organization on disk. Access time, data transfer rate.
8 Instruction set, instruction formats and instruction sequencing. Example of a simple computer architecture with its instruction set.
9 Midterm Exam
10 Networking fundamentals, network architecture and components, transmission media, network types, securing wireless networks. Internet infrastructure, Internet access, Internet resources and applications.
11 Mobile devices and smartphones. Tablets and portable computer types. Digital data and information. Digital publishing, music, photography, and video.
12 Computer crimes, cybercrime and identity theft. Computer viruses, antivirus software. Access control, firewall, encryption, password management. Privacy problems.
13 Algorithms, programming languages, syntax, semantics, compilers. Program life cycle. Top-down programming. Identifiers, expressions and conditions. Representation techniques, flow charts, pseudocodes. Structured programming.
14 Database building blocks. Database types and functions. Database warehousing and storage. Business intelligence systems. Data mining.
15 Preparation for the final exam
16 Final exam
Assessment Methods
Course activities Number Percentage
Attendance 0 0
Laboratory 0 0
Application 0 0
Field activities 0 0
Specific practical training 0 0
Assignments 4 10
Presentation 0 0
Project 0 0
Seminar 0 0
Quiz 0 0
Midterms 1 40
Final exam 1 50
Total 100
Percentage of semester activities contributing grade success 50
Percentage of final exam contributing grade success 50
Total 100
Workload and ECTS Calculation
Course activities Number Duration (hours) Total workload
Course Duration 14 3 42
Laboratory 0 0 0
Application 0 0 0
Specific practical training 0 0 0
Field activities 0 0 0
Study Hours Out of Class (Preliminary work, reinforcement, etc.) 14 5 70
Presentation / Seminar Preparation 0 0 0
Project 0 0 0
Homework assignment 4 4 16
Quiz 0 0 0
Midterms (Study Duration) 1 20 20
Final Exam (Study duration) 1 32 32
Total workload 34 64 180
Matrix Of The Course Learning Outcomes Versus Program Outcomes
Key learning outcomes Contribution level
1 2 3 4 5
1. Possesses the theoretical and practical knowledge required in Electrical and Electronics Engineering discipline.
2. Utilizes his/her theoretical and practical knowledge in the fields of mathematics, science and electrical and electronics engineering towards finding engineering solutions.
3. Determines and defines a problem in electrical and electronics engineering, then models and solves it by applying the appropriate analytical or numerical methods.
4. Designs a system under realistic constraints using modern methods and tools.
5. Designs and performs an experiment, analyzes and interprets the results.
6. Possesses the necessary qualifications to carry out interdisciplinary work either individually or as a team member.
7. Accesses information, performs literature search, uses databases and other knowledge sources, follows developments in science and technology.
8. Performs project planning and time management, plans his/her career development.
9. Possesses an advanced level of expertise in computer hardware and software, is proficient in using information and communication technologies.
10. Is competent in oral or written communication; has advanced command of English.
11. Has an awareness of his/her professional, ethical and social responsibilities.
12. Has an awareness of the universal impacts and social consequences of engineering solutions and applications; is well-informed about modern-day problems.
13. Is innovative and inquisitive; has a high level of professional self-esteem.
1: Lowest, 2: Low, 3: Average, 4: High, 5: Highest
General Information | Course & Exam Schedules | Real-time Course & Classroom Status
Undergraduate Curriculum | Open Courses, Sections and Supervisors | Weekly Course Schedule | Examination Schedules | Information for Registration | Prerequisite and Concurrent Courses | Legal Info and Documents for Internship | Academic Advisors for Undergraduate Program | Information for ELE 401-402 Graduation Project | Virtual Exhibitions of Graduation Projects | Program Educational Objectives & Student Outcomes | ECTS Course Catalog | HU Registrar's Office
Graduate Curriculum | Open Courses and Supervisors | Weekly Course Schedule | Final Examinations Schedule | Schedule of Graduate Thesis Defences and Seminars | Information for Registration | ECTS Course Catalog - Master's Degree | ECTS Course Catalog - PhD Degree | HU Graduate School of Science and Engineering