MATHEMATICS AND COMPUTER SCIENCE
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
MAT1001	Analysis I	Fall	4	2	5	11

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 MOHAMED KHALIFA
Course Lecturer(s):	RA AYSUN SOYSAL Assist. Prof. LAVDİE RADA ÜLGEN Assist. Prof. DUYGU ÜÇÜNCÜ Assist. Prof. ASLI TOLUNAY
Recommended Optional Program Components:	None
Course Objectives:	Upon completion of the course, students will have , a working knowledge of the fundamental definitions and theorems of mathematical analysis, to obtain skills and logical perspectives that prepare them for subsequent courses inside the department, be able to complete routine derivations associated with mathematical analysis, recognize elementary applications of differential and integral calculus, and be literate in the language and notation of mathematical analysis.

Learning Outcomes

The students who have succeeded in this course;
1) be able to explain reason for the ordering on real numbers, and also on the real axis
2) be able to evaluate limits by using the definition of limit of a function and test continuity of functions, know the properties of real number sequences, and calculate their limits
3) be able to calculate derivatives of functions
5) be able to solve the problems about the rate of changes,
6) be able to explain Mean Value Theorem and its results,
7) be able to evaluate limits of Indeterminate Forms by using L'Hopital's Rule,
8) be able to interpret successive derivations of a function, determines increasing and decreasing regions for a function and decide on convexity of its graph,
9) be able to sketch the graph of a function,
10) be able to solve applied maximum and minimum problems,
11) be able to test the existency of Inverse functions and calculate their derivatives,
12) be able to test the existency of Inverse trigonometric functions and calculate their derivatives,
13) be able to define exponential functions, Natural Logarithms, hyperbolic functions, obtain their fundamental properties, sketch the graphs of them
be able to compute basic indefinite integrals by using their specific integration techniques

Course Content

Sets and Mappings, Real Numbers, functions,Limits, sequences, Continuous Functions, Differentiation, Applications of Derivatives, rate of change, The Mean Value Theorem, Indeterminate Forms and L'Hopital's Rule,convexity, Curve Sketching, Applied Optimization, Inverse Functions and Their Derivatives, Inverse Trigonometric Functions,Exponential Functions, Natural Logarithms, Hyperbolic Functions, Indefinite Integrals,antiderivatives, Techniques of Integration.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Sets and Mappings, Natural Numbers and Induction.
2)	Real Numbers, Algebraic Axioms, Ordering Axioms, Integers and Rational Numbers, The Completeness Axiom, Relations and functions.
3)	Limits , Limit of a function and limit theorems,One sided limits, Limits involving infinity. Sequnces and their limits.
4)	Continuous Functions,properties of Continuous Functions, Continuous Functions on a closed interval,the intermediate value theorem, continiuty of Composite functions.
5)	Differentiation, Tangents and the Derivative at a Point, The Derivative as a Function, Differentiation rules.
6)	The Derivative as a Rate of Change and applications.
7)	The Chain Rule, Implicit Differentiation, Related Rates.
8)	The mean value theorem and its results; Extreme Values of Functions, critical points, the First Derivative Test, Cauchy mean value theorem, Indeterminate Forms and L'Hopital's Rule
9)	Convexity, second derivative test and Curve Sketching, Applied Optimization.
10)	Inverse Functions and Their Derivatives,arcsin, arccos, arctg functions and their graphs.
11)	Exponential Functions; Definition and fundamental properties of exponential function.
12)	Natural Logarithms, Hyperbolic Functions, Relative Rates of Growth.
13)	Indefinite Integrals ,antiderivatives, Techniques of Integration, The Substitution Rule, Integration by Parts.
14)	Summary of the course topics, directions and notices for the final exam.

Sources

Course Notes / Textbooks:	Serge Lang , Undergraduate Analysis, 2nd Ed./Springer Science+Business Media Inc. Walter Rudin, Principles Of Mathematical Analysis, 3rd Ed. James Stewart ,Calculus, 5th Ed. Brooks/Cole Publishing Company Serge Lang , A First Course in Calculus, 4th Ed./Springer Science+Business Media Inc.
References:	C.H. Edwards,Jr. David E. Penney, Calculus with Analytic Geometry, Prentice- Hall Englewood Cliffs, New Jersey Richard A.Silverman, Calculus with Analytic Geometry, Prentice- Hall Englewood Cliffs, New Jersey

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Midterms	2	% 45
Final	1	% 55
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 45
PERCENTAGE OF FINAL WORK		% 55
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	4	56
Application	14	2	28
Study Hours Out of Class	14	7	98
Midterms	2	30	60
Final	1	30	30
Total Workload			272

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)	To have a grasp of basic mathematics, applied mathematics and theories and applications of computer science,	5
2)	To be able to understand and assess mathematical proofs and construct appropriate proofs of their own and also define and analyze problems and to find solutions based on scientific methods,	5
3)	To be able to apply mathematics and computer science in real life with interdisciplinary approach and to discover their potentials,	4
4)	To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself,	4
5)	To be able to tell theoretical and technical information easily to both experts in detail and non-experts in basic and comprehensible way,	4
6)	Matematik ve bilgisayar bilimleri alanında kullanılan bilgisayar programlarına aşina olmak ve bunlardan en az birini İleri Düzey Avrupa Bilgisayar Ehliyeti(the European Computer Driving Licence Advanced Level) seviyesinde kullanmak
7)	To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement,
8)	To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense,
9)	By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere,	5
10)	To be able to continue lifelong learning by renewing the knowledge, the abilities and the competencies which have been developed during the program, and being conscious about lifelong learning,
11)	To be able to adapt and transfer the knowledge gained in the areas of mathematics ; such as algebra, analysis, number theory, mathematical logic, geometry and topology to the level of secondary school,	4
12)	To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively.	3