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

General course introduction information

Course Code:

ISLT290

Course Name:

Advanced Excel Applications

Course Semester:

Spring

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	6

Language of instruction:

Course Requisites:

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 :

Dr.Öğr.Üyesi İLKER CALAYOĞLU

Course Lecturer(s):

Dr.Öğr.Üyesi İLKER CALAYOĞLU

Course Assistants:

Course Objective and Content

Course Objectives:	The aim of this course is to enable students to gain the ability to calculate, report, summarize and analyze excel skills. Thus they will be more functional at the internship and at the workplace.
Course Content:	Basic Excel use; working with worksheets and books; working with data lists; conditional and unconditional formatting; working with graphics; logical and mathematical functions; statistical functions; financial functions; subtotals, preparing tables and summary table analysis; pivot tables; macros; data analysis.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) • Manages Excel files.
2 - Skills
Cognitive - Practical
1) • Calculations numerical data
2) • Apply to graphics and tables.
3) • Filter through the mass data and analyze.
3 - Competences
Communication and Social Competence
Learning Competence
1) • Summarize data
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	• Describe to the course. • Define the course to the students • Syllabus • Discuss to course topics • Discuss to course outline
2)	• Saves the active document. • Change the type of file. • Recovery the Files • Document management • Saving types • Difference between save and save as
3)	• Conditional and unconditional cell formatting • Using of cell styles. • Working with name of cells • Adding, deleting and managing to row and columns • Adding, deleting and managing to worksheets • Formatting to cells • Formatting to worksheets • Data validation	Reads from book about cell and worksheet formatting.
4)	• Makes transaction between workbooks. • Manages the workbook view. • Works with windows. • Work with workbook • Build a bridge	Reads from book about workbook.
5)	• Sort and filter data. • Works with subtotals. • Data is grouped and leveling. • Transaction of database • Sort and filter data. • Get subtotals of data • Data grouping and leveling.	Reads from book about database
6)	• Draw graphics. • Set the graphic design. • Creates graphic labels. • Graphic formats. • Working with Graphics	reads from book about graphics
7)	• Creates pivot table • Filter Data • Creates alternative summary tables. • Creates pivot graph	Chapter 8 – Lecturing and practice
8)	midterm exam
9)	• Analyze statistical functions. • Analyze financial functions.	Chapter 9 – Lecturing and practice
10)	• Analyze the logical functions. • Analyze textual functions.	Reads from book about functions
11)	• Applies the image adding program. • Comments to Vector draws • Saves the SmartArt graphic. • Records to pictures and drawings.	Reads from book about pictures and drawings.
12)	• Creates a macro. • Make changes in the macro and comments. • Delete and rename to macro	Repeating what has been done
13)	• To share documents. • Monitoring changes in the shared workbook. • Protects and encrypts to documents	Reads from book about workbook sharing and its protection
14)	• General options • Formula options • Calculation options • Writing checking options • Save options • Advanced options • Customize the strip	Reads from book about to customize Excel 2010
15)	final exam

Sources

Course Notes / Textbooks:	Microsoft Excel 2010 Gürkan, Osman 2013 Nirvana Yayınları Published: 2013 ISBN: 978-975-8878-76-5
References:	Yok

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	4	5	3
Program Outcomes
1) Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; 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 need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.
10) Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.
11) Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions.
12) Knowledge on advanced calculus, including differential equations applicable to automotive engineering; familiarity with statistics and linear algebra; knowledge on chemistry, calculus-based physics, dynamics, structural mechanics, structure and properties of materials, fluid dynamics, heat transfer, manufacturing processes, electronics and control, design of vehicle elements, vehicle dynamics, vehicle power train systems, automotive related regulations and vehicle validation/verification tests; ability to integrate and apply this knowledge to solve multidisciplinary automotive problems; ability to apply theoretical, experimental and simulation methods and, computer aided design techniques in the field of automotive engineering; ability to work in the field of vehicle design and manufacturing.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2)	The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3)	The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4)	Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5)	Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.
6)	The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7)	Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; 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 need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9)	Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.
10)	Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.
11)	Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions.
12)	Knowledge on advanced calculus, including differential equations applicable to automotive engineering; familiarity with statistics and linear algebra; knowledge on chemistry, calculus-based physics, dynamics, structural mechanics, structure and properties of materials, fluid dynamics, heat transfer, manufacturing processes, electronics and control, design of vehicle elements, vehicle dynamics, vehicle power train systems, automotive related regulations and vehicle validation/verification tests; ability to integrate and apply this knowledge to solve multidisciplinary automotive problems; ability to apply theoretical, experimental and simulation methods and, computer aided design techniques in the field of automotive engineering; ability to work in the field of vehicle design and manufacturing.

Learning Activity and Teaching Methods

Field Study
Peer Review
Expression
Lesson
Lab
Homework
Problem Solving
Report Writing

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework
Application
Observation
Presentation
Reporting
Bilgisayar Destekli Sunum

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Attendance	14	% 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 Grading

Activities	Number of Activities	Workload
Course Hours	13	39
Study Hours Out of Class	13	94
Midterms	1	14
Final	1	18
Total Workload		165