Computer Engineering (English)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code: UNI084
Course Name: Teaching English Language Skills
Semester: Fall
Course Credits:
ECTS
5
Language of instruction: English
Course Condition:
Does the Course Require Work Experience?: No
Type of course: University Elective
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator: Dr. Öğr. Üy. ÜLKÜ KÖLEMEN
Course Lecturer(s): Dr. Öğr. Üy. ÜLKÜ KÖLEMEN
Course Assistants:

Course Objective and Content

Course Objectives: The course is designed to equip learners with;
● theoretical knowledge and practical skills about language skills
● skills to teach reading, listening, speaking, and writing for various educational levels.
● competencies for selecting, grading and developing instructional materials to teach language skills.
Course Content: Foreign language skills, foreign language sub-skills, approaches to teaching language skills, methods of teaching language skills, preparation of a language teaching lesson plan.

Learning Outcomes

The students who have succeeded in this course;
1) To be able to teach language skills to meet daily needs,
2) To be able to teach sub-skills related to language skills methodologically,
3) To develop language skill practice activities,
4) To be able to use the method of teaching skills by following the stages of preparation, development, and personalization

Course Flow Plan

Week Subject Related Preparation
1) Introduction: Nature of Language Importance and Functions of Language English Language Teaching: Approaches and Methodologies, Chp: 2
2) The World of English The Practice of English Language Teaching, Chp 1
3) Describing the English Language The Practice of English Language Teaching, Chp 2
4) Describing Learners The Practice of English Language Teaching, Chp 5
5) Describing Teachers The Practice of English Language Teaching, Chp 6
6) Describing Learning Contexts The Practice of English Language Teaching, Chp 7
7) Midterm
8) Popular Methodologies in Teaching Language Skills The Practice of English Language Teaching, Chp 4
9) Educational Technology and Other Learning Resources Issues in Language Learning The Practice of English Language Teaching, Chp 11
10) Educational Technology and Other Learning Resources Teaching Grammar The Practice of English Language Teaching, Chp 11 & 13
11) Teaching Vocabulary Teaching Pronunciation The Practice of English Language Teaching, Chp 14 & 15
12) Mistakes and Feedback Grouping Students The Practice of English Language Teaching, Chp 8 & 10
13) Teaching Language Skills The Practice of English Language Teaching, Chp 16
14) Reading Writing Speaking Listening The Practice of English Language Teaching, Chp 17-20

Sources

Course Notes / Textbooks: ● Harmer, J. (2007) The Practice of English Language Teaching (4th Edition) Pearson, Longman, ISBN: 1405853115, 9781405853118
● Arora Navita (2012) English Language Teaching: Approaches and Methodologies. McGraw Hill Companies. ISBN (13 digit): 978-0-07-107814-6
● Ur, P. (2012). A course in English language teaching. Cambridge: Cambridge University Press.
References: ● Harmer, J. (2007) The Practice of English Language Teaching (4th Edition) Pearson, Longman, ISBN: 1405853115, 9781405853118
● Arora Navita (2012) English Language Teaching: Approaches and Methodologies. McGraw Hill Companies. ISBN (13 digit): 978-0-07-107814-6
● Ur, P. (2012). A course in English language teaching. Cambridge: Cambridge University Press.

Course - Program Learning Outcome Relationship

Course Learning Outcomes

1

2

3

4
Program Outcomes
1) Adequate knowledge in mathematics, science, and computer engineering principles, both theoretical and practical, and the ability to apply this knowledge to complex engineering problems.
2) Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques.
3) Ability to design and develop complex computer systems, devices, or products that meet specific requirements and operate under realistic constraints and conditions, using modern design methods.
4) Ability to develop, select and use modern techniques and tools used for the analysis and solution of complex computer engineering problems, and the ability to use information technologies effectively.
5) Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics.
6) Ability to work effectively within and multidisciplinary teams; individual study skills.
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11) Knowledge of the effects of computer engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in computer engineering; awareness of the legal consequences of computer engineering solutions.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) Adequate knowledge in mathematics, science, and computer engineering principles, both theoretical and practical, and the ability to apply this knowledge to complex engineering problems.
2) Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques.
3) Ability to design and develop complex computer systems, devices, or products that meet specific requirements and operate under realistic constraints and conditions, using modern design methods.
4) Ability to develop, select and use modern techniques and tools used for the analysis and solution of complex computer engineering problems, and the ability to use information technologies effectively.
5) Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics.
6) Ability to work effectively within and multidisciplinary teams; individual study skills.
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously. 2
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11) Knowledge of the effects of computer engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in computer engineering; awareness of the legal consequences of computer engineering solutions.

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Attendance 1 % 10
Midterms 1 % 40
Final 1 % 50
total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
total % 100

Workload and ECTS Credit Calculation

Activities Number of Activities Workload
Course Hours 13 39
Study Hours Out of Class 13 65
Presentations / Seminar 2 6
Quizzes 3 3
Midterms 1 1
Final 1 1
Total Workload 115