Undergraduate
Faculty of Science and Letters
Mathematics And Computer Science
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Advanced Analysis II

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
MB0063 Advanced Analysis II 2/2/0 DE Turkish 5
Course Goals
 Introduce students to theoretical concepts of analysis and bring them into use.
Prerequisite(s) Analysis I, Analysis II, Analysis III, Analysis IV, Advanced Analysis II
Corequisite(s) None
Special Requisite(s) The minimum qualifications that are expected from the students who want to attend the course.(Examples: Foreign language level, attendance, known theoretical pre-qualifications, etc.)
Instructor(s) Assoc. Prof. Emel Yavuz
Course Assistant(s)
Schedule Day, hours, XXX Campus, classroom number.
Office Hour(s) Instructor name, day, hours, XXX Campus, office number.
Teaching Methods and Techniques -Resitation and Oral Presentation
Principle Sources -William R. Wade, An Introdution to Analysis, Fourth Edition, Prentice Hall, Englewood Cliffs, NJ, 2010.
Other Sources     · R.C. Buck, Advanced Calculus, McGraw-Hill, New York, 1965

 · W. Kaplan, Advanced Calculus, Addison-Wesley Publishing Company, Inc., Reading, MA, 1984

 · T.W. Körner, A Companion to Analysis: A Second First and First Second Course in Analysis, Graduate Studies in Mathematics, Vol. 62, American Mathematical Society, Providence, RI, 2003

 · J.E. Marsden & M.J. Hoffman, Elementary Classical Analysis, 2nd ed., Tenth Printing, W.H. Freeman and Company, New York, 2003

 · A. Nesin, Analiz IV, Gözden geçirilmiş 2. baskı, Nesin Matematik Köyü Kitaplığı, Nesin Yayıncılık, İstanbul,  2012

 · William R. Parzynski & Philip W. Zipse, Introduction to Mathematical Analysis, McGraw-Hill Book Co., Singapore, 1987

 · W. Rudin, Principles of Mathematical Analysis, 3rd Edition, McGraw-Hill Book Co., New York, 1987

       Karl R. Stromberg, An Introduction to Classical Real Analysis, Wadsworth, Inc., Belmont, CA, 1981

Course Schedules
Week Contents Learning Methods
1. Week Euclidean Spaces, Algebraic Structure, Planes and Linear Transformations Resitation and Oral Presentation
2. Week Topology on R ^ n, Interior, Closure and BoundaryConcepts Resitation and Oral Presentation
3. Week Convergence on R ^ n, Limits of Sequences, Heine-Borel Theorem Resitation and Oral Presentation
4. Week Limits of Functions, Continuous Functions Resitation and Oral Presentation
5. Week Differentiability on R ^ n, Partial Derivatives and Integrals Resitation and Oral Presentation
6. Week Definition of Differentiability, Derivatives Resitation and Oral Presentation
7. Week Differentials and Tangent Planes Resitation and Oral Presentation
8. Week Chain Rule, Mean Value Theorem and Taylor Formula Resitation and Oral Presentation
9. Week Inverse Function Theory Resitation and Oral Presentation
10. Week Integral on R ^ n, Jordan Zones, Riemannian Integral on Jordan Zones Resitation and Oral Presentation
11. Week Sequential Integrals, Variable Transformation Resitation and Oral Presentation
12. Week Basics of Vector Calculus, Curves, Guided Curves Resitation and Oral Presentation
13. Week Surfaces, Guided Surfaces Resitation and Oral Presentation
14. Week Green and Gauss Theorems, Stokes Theorem Resitation and Oral Presentation
15. Week
16. Week
17. Week
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 40
Final Exam 1 60


Program Outcomes
PO-1Interpreting advanced theoretical and applied knowledge in Mathematics and Computer Science.
PO-2Critiquing and evaluating data by implementing the acquired knowledge and skills in Mathematics and Computer Science.
PO-3Recognizing, describing, and analyzing problems in Mathematics and Computer Science; producing solution proposals based on research and evidence.
PO-4Understanding the operating logic of computer and recognizing computational-based thinking using mathematics as a discipline.
PO-5Collaborating as a team-member, as well as individually, to produce solutions to problems in Mathematics and Computer Science.
PO-6Communicating in a foreign language, and interpreting oral and written communicational abilities in Turkish.
PO-7Using time effectively in inventing solutions by implementing analytical thinking.
PO-8Understanding professional ethics and responsibilities.
PO-9Having the ability to behave independently, to take initiative, and to be creative.
PO-10Understanding the importance of lifelong learning and developing professional skills continuously.
PO-11Using professional knowledge for the benefit of the society.
Learning Outcomes
LO-1Understands the algebraic and topological structure of Euclidean spaces, analyzes their dependence on each other.
LO-2Understands the limit and continuity of functions defined on Euclidean spaces and analyzes them.
LO-3Understands and differentiates properties of defined functions on Euclidean spaces.
LO-4Understands the Mean Value Theorem and Taylor Formula and analyzes them.
LO-5Understands Riemann integral on Jordan regions and analyzes them.
LO-6Understands curves and directed curves and analyzes them.
LO-7Understands surfaces and guided surfaces and solves questions about them.
LO-8Understands Green, Gauss ve Stokes Teoremleri'ni and analyzes them.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11
LO 1
LO 2
LO 3
LO 4
LO 5
LO 6
LO 7
LO 8