COMPUTER ENGINEERING
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
MAT1051	Calculus I	Fall	3	2	4	7

Basic information

Language of instruction:	English
Type of course:	Must Course
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Instructor NERMINE AHMED EL SISSI
Course Lecturer(s):	Prof. Dr. SÜREYYA AKYÜZ RA DUYGU ÜÇÜNCÜ Dr. Öğr. Üyesi LAVDİE RADA ÜLGEN RA AYSUN SOYSAL Dr. Öğr. Üyesi MESUT NEGİN Dr. Öğr. Üyesi MÜRÜVVET ASLI AYDIN Assoc. Prof. HALE GONCE KÖÇKEN Prof. Dr. NAFİZ ARICA Dr. Öğr. Üyesi DOĞAN AKCAN
Recommended Optional Program Components:	This is not defined for this course
Course Objectives:	The purpose of the course is to give to the student a mathematical understanding of relations, functions, limits, continuity and differentiation and thus provide the necessary background so that a rational approach to problem solving is attained.

Learning Outcomes

The students who have succeeded in this course;
1 Understand and make calculations with numbers and functions, function’s types, and interpret different type of functions;
2 Calculate limit and asymptots and prove some basic evidence about limit and continuity.
3 Define derivatives s as a rate of change; apply linearization methods on nonlinear functions and use this on calculations.
4 Learn different derivation methods
5 Solve related rate problems
6 Use derivation methods in curve sketching
7 Calculate absolute and local maximum minimum values of univariate functions
8 Solve basic optimization problems;

Course Content

Relations, functions, limits, continuity, differentiation, rules of differentiation, The chain rule and implicit differentiation. Derivatives of trigonometric, exponential, logarithmic, inverse trigonometric functions.Related rates, linearization and differentials, extreme values, the Mean Value theorem, curve sketching, applied optimization problems. Indeterminate forms and L'Hopital's rule. Newton's method and antiderivatives.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Number systems and functions.
2)	Functions and their properties.
3)	Definition of limits and properties of limits.
4)	Undefined limits, horizontal and vertical asymptotes. Continuity.
5)	Definition of derivative. Tangents and derivative at a point. The derivative as a function.
6)	The derivative as a rate of change. Differentiation rules.
7)	Derivatives of functions. The chain rule and implicit differentiation.
8)	Derivatives of functions (cont'd). Approximations and differentials.
9)	Applications of the derivative. Related rate problems.
10)	Applications of differentiation (cont'd). The Mean value theorem, maximum, minimum values, increasing and decreasing functions,
11)	Curve sketching.
12)	Indeterminate forms and L'Hopital's rule.
13)	Optimization problems and Newton's method.
14)	Linearization of non linear functions

Sources

Course Notes / Textbooks:	Robert Adams, Christopher Essex, Calculus, Eight Edition, Pearson
References:	James Stewart Calculus, 5th Ed. Brooks/Cole Publishing Company C.H. Edwards,Jr. David E. Penney, Calculus with Analytic Geometry Richard Silverman, Calculus with Analytic Geometry, Prentice Hall

Evaluation System

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

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Application	14	2	28
Study Hours Out of Class	14	3	42
Midterms	1	28	28
Final	1	30	30
Total Workload			170

Contribution of Learning Outcomes to Programme Outcomes

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

	Program Outcomes	Level of Contribution
1)	Adequate knowledge in mathematics, science and computer engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.	5
2)	Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.	5
3)	Ability to design a complex 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 computer 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 computer engineering research topics.
6)	Ability to work effectively within and multi-disciplinary teams; individual study skills.
7)	Ability to communicate effectively in verbal and written Turkish; knowledge of at least one foreign language; ability to write active 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 engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in engineering; awareness of the legal consequences of engineering solutions.