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

Course Introduction and Application Information

Course Code:

UNI081

Course Name:

Approaches to English Language Teaching

Semester:

Fall

Course Credits:

ECTS

Language of instruction:

English

Course Condition:

Does the Course Require Work Experience?:

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:

Araş. Gör. BURAK ASLAN

Course Lecturer(s):

Course Assistants:

Course Objective and Content

Course Objectives:	Introduction to theoretical approaches to second/foreign language learning from GTM to Audio-lingual and communicative method and the overview of conceptual issues in second language learning in naturalistic settings and in the classroom with special focus on the ability to develop an teaching method applicable in real educational environments.
Course Content:	Definition of language learning, general learning theories, theories of language learning, neurolinguistic, sociolinguistic, psycholinguistic.

Learning Outcomes

The students who have succeeded in this course;
1) To be able to define language learning,
2) To be able to describe general learning approaches
3) To describe general language learning approaches,
4) To be able to express the connection between language and brain,
5) To be able to evaluate language learning from a psycholinguistic perspective.

Course Flow Plan

Week	Subject	Related Preparation
1)	Introduction, Brown, CH 1, Crain &Lillo-Martin, CH 1
2)	Language Learning in Early Childhood, Lightbown & Spada CH 1 Stages of Language Acquisition, Crain &Lillo-Martin, CH 3
3)	Second Language Learning, Lightbown & Spada CH 2 Explaining Second Language Learning, Lightbown & Spada CH 4
4)	Instructed Second Language Acquisition, Gass, CH 11 Comparing and Contrasting L1&L2, Brown CH3
5)	Universal Grammar, Crain &Lillo-Martin, CH 6 Modularity Hypothesis, Crain &Lillo-Martin, CH 7
6)	Language Acquisition, Ellidokuzoğlu, 2017
7)	Language Acquisition, Krashen, 2013
8)	MID-TERM
9)	Language Acquisition, Krashen Video
10)	Looking at Interlanguage Processing, Gass, CH 8 Nonlanguage Influences, Beyond the Domain of Language, Gass CH 12
11)	Communicatice Competence, Brown Ch 8
12)	Introduction to Applied Linguistics, Schmitt & Celce-Mercia, CH 1
13)	Introduction to Psycholinguistics, O'grady & Archibald CH 12
14)	Introduction to Neurolinguistics, O'grady & Archibald CH 13 Introduction to Sociolinguistics and Language Education, Bayyurt, 2013

Sources

Course Notes / Textbooks:

Brown, D.H. (2017). Principles of Language Teaching & Learning 6th edition. Pearson.
Crain, S., & Lillo-Martin, D. C. (1999). An introduction to linguistic theory and language acquisition (No. Sirsi) i9780631195351).
Lightbown, P. M., & Spada, N. (2013). How languages are Learned 4th edition. Oxford Handbooks for Language Teachers. Oxford University Press.
O'grady, W., & Archibald, J. (2015). Contemporary linguistic analysis: An introduction. Pearson Canada.
Selinker, L., & Gass, S. M. (2008). Second Language Acquisition. Lawrence Erlhaum Ass.

References:

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5
Program Outcomes
1) Adequate knowledge in mathematics, science and industrial engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2) Ability to identify, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3) Ability to design a complex industrial system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; ability to use information technologies effectively.
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or industrial engineering 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 effectice 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 industrial engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in industrial engineering; awareness of the legal consequences of industrial 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 industrial engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2)	Ability to identify, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3)	Ability to design a complex industrial system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
4)	Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; ability to use information technologies effectively.
5)	Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or industrial engineering 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 effectice 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 industrial engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in industrial engineering; awareness of the legal consequences of industrial engineering solutions.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	1	% 50
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	Preparation for the Activity	Spent for the Activity Itself	Completing the Activity Requirements	Workload
Course Hours	14	0	3		42
Study Hours Out of Class	16	0	5		80
Midterms	1	0	2		2
Final	1	0	2		2
Total Workload					126