Civil 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
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
Program Outcomes
1) Knowledge of mathematics, science, basic engineering, computational engineering, and subjects specific to the engineering discipline; the ability to use this knowledge in solving complex engineering problems.
2) Ability to identify, formulate and analyze complex engineering problems using fundamental knowledge of science, mathematics, and engineering, while considering UN Sustainable Development Goals.
3) Ability to design creative solutions to complex engineering problems; the skill to design complex systems, processes, devices, or products considering realistic constraints and conditions.
4) Ability to select and use appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling, for analyzing and solving complex engineering problems.
5) Ability to use research methods to investigate complex engineering problems, including literature research, experimental design, experimentation, data collection, analysis and interpretation.
6) Ability to work effectively individually and as a member or leader in intra‑disciplinary and multi‑disciplinary teams (face‑to‑face, remote, or hybrid).
7) Ability to communicate effectively on technical topics verbally and in writing, considering various differences (education, language, profession) of the target audience.
8) Lifelong learning ability, encompassing the capacity to learn independently and continuously, to adapt to new and emerging technologies, and to think critically about technological changes.
9) Acting according to engineering professional principles; knowledge of ethical responsibility and awareness of inclusive and non‑discriminatory behavior.
10) Knowledge about business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.
11) Knowledge about the impacts of engineering practices on society, health and safety, economy, sustainability and environment, while considering UN Sustainable Development Goals; awareness of legal implications of engineering solutions.

Course - Learning Outcome Relationship

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

	Program Outcomes	Level of Contribution
1)	Knowledge of mathematics, science, basic engineering, computational engineering, and subjects specific to the engineering discipline; the ability to use this knowledge in solving complex engineering problems.
2)	Ability to identify, formulate and analyze complex engineering problems using fundamental knowledge of science, mathematics, and engineering, while considering UN Sustainable Development Goals.
3)	Ability to design creative solutions to complex engineering problems; the skill to design complex systems, processes, devices, or products considering realistic constraints and conditions.
4)	Ability to select and use appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling, for analyzing and solving complex engineering problems.
5)	Ability to use research methods to investigate complex engineering problems, including literature research, experimental design, experimentation, data collection, analysis and interpretation.
6)	Ability to work effectively individually and as a member or leader in intra‑disciplinary and multi‑disciplinary teams (face‑to‑face, remote, or hybrid).
7)	Ability to communicate effectively on technical topics verbally and in writing, considering various differences (education, language, profession) of the target audience.
8)	Lifelong learning ability, encompassing the capacity to learn independently and continuously, to adapt to new and emerging technologies, and to think critically about technological changes.
9)	Acting according to engineering professional principles; knowledge of ethical responsibility and awareness of inclusive and non‑discriminatory behavior.
10)	Knowledge about business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.
11)	Knowledge about the impacts of engineering practices on society, health and safety, economy, sustainability and environment, while considering UN Sustainable Development Goals; awareness of legal implications of engineering solutions.

Learning Activity and Teaching Methods

Expression
Lesson
Lab
Problem Solving

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Application

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	1	% 40
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Midterms	1	3	3
Final	1	3	3
Total Workload			48