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Mechanical Engineering

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

Course General Introduction Information

Course Code: MAT101
Course Name: Mathematics I
Course Semester: Fall
Course Credits:
ECTS
6
Language of instruction: TR
Course Requirement:
Does the Course Require Work Experience?: No
Type of course: Necessary
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 : Assoc. Prof. HATİCE ESRA ÖZKAN UÇAR
Course Lecturer(s): Prof. Dr. H. Esra ÖZKAN UÇAR
Course Assistants:

Course Purpose and Content

Course Objectives: Teaching basic mathematical concepts for use in engineering problems.
Course Content: Functions, derivation, skecth graph, integral.

Learning Outcomes

The students who have succeeded in this course;
1) Defines limits in functions, limits in infinity, and functions with infinite limits.
2) Uses tangent lines and their slopes, derivatives and derivative rules.
3) Defines the uncertain limit and solves these limits using L'Hopital's rule.
4) Discuss and explain how to graph a function.
5) Defines definite integrals and their properties.
6) Defines the volumes of solid objects obtained by rotation, discusses the concepts of curve length and surface area.

Course Flow Plan

Week Subject Related Preparation
1) Functions: Domain, Functions and Their Graphs, Even-odd Functions, Symmetry, Operations on Functions, Piecewise Functions, Polynomials and Rational Functions, Trigonometric Functions.
2) Limit and Continuity: Limit of a Function and Limit Rules, Sandwich Theorem, Exact Definition of Limit, One-Sided Limits, Limits Including Infinity, Infinite Limits.
3) Continuity: Continuity at a Point, Continuous Functions, Intermediate Value Theorem, Types of Discontinuity. Derivative: Tangent and Normal Lines, Derivative at a Point, Derivative as a Function, One-Sided Differentiation.
4) Derivative on an Interval, Derivative Rules, Higher Order Derivatives, Derivatives of Trigonometric Functions, Chain Rule, Derivative in Implicit Functions, Linearization and Differentials, Increasing-Decreasing Functions.
5) Transcendent Functions: Inverse Functions and Derivatives, Properties and Derivatives of Exponential and Logarithmic Functions, Inverse Trigonometric Functions and Derivatives, Hyperbolic and Inverse Hyperbolic Functions and Derivatives.
6) Indeterminate forms and L'Hopital's Rule, Extremum values ​​of functions, Critical points.
7) Rolle's Theorem, Mean Value Theorem, First Derivative Test for Local Extrema, Concavity, Second Derivative Test for Concavity, Inflection Points, Second Derivative Test for Local Extrema.
8) Sketch graph.
9) Indefinite Integral, Integration Table Integral: Estimating with Area and Finite Sums, Sigma Notation and Limits of Finite Sums, Riemann Sums, Definite Integral, Properties of the Definite Integral, Area Under the Graph of a Non-Negative Function, Average Value of a Continuous Function.
10) Mean Value Theorem for Definite Integrals, Fundamental Theorem of Calculus: Fundamental Theorem Part 1, Fundamental Theorem Part 2.
11) Integration Techniques: Substitution Technique (Variable Substitution), Partial Integration, Trigonometric Integrals, Reduction Formulas.
12) Applications of Definite Integral: Calculation of Areas of Plane Regions, Area Between Two Curves, Calculation of Volumes of Rotational Objects (Disk Method, Washer Method, Cylindrical Shell Method), Arc Length, Areas of Rotational Surfaces.
13) Improper Integrals.
14) Example Solutions

Sources

Course Notes / Textbooks: Thomas Calculus Cilt I, George B. Thomas, Maurice D. Weir, Joel R. Hass, Frank Giordano, Beta Yayınları, 2009.
References: Thomas Calculus Cilt I, George B. Thomas, Maurice D. Weir, Joel R. Hass, Frank Giordano, Beta Yayınları, 2009.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Medium 3 Highest
       
Program Outcomes Level of Contribution
1) Ability to utilize advanced theoretical and applied knowledge in the field. 1
2) Using the advanced knowledge and skills acquired in the field, being able to interpret and evaluate data, identify problems, analyze them, and develop solution proposals based on research and evidence. 3
3) Being able to organize and implement projects and activities for the social environment in which one lives with a sense of social responsibility. 1
4) Being able to follow information in one foreign language at least at the European Language Portfolio B1 General Level and communicate with colleagues in the field. 1
5) Ability to use information and communication technologies together with at least European Computer Driving License Advanced Level computer software, as required by the field. 1
6) Being able to evaluate advanced knowledge and skills in the field critically. 1
7) Identifying learning needs and being able to direct learning. 2
8) Developing a positive attitude towards lifelong learning. 1
9) Acting in accordance with social, scientific, cultural, and ethical values ​​in the stages of collecting, interpreting, applying, and announcing the results related to the field. 1
10) Having sufficient awareness about the universality of social rights, social justice, quality culture, preservation of cultural values, as well as environmental protection, occupational health, and safety. 1
11) Being able to conduct an advanced study independently in the field. 2
12) To take responsibility individually and as a team member to solve complex problems encountered in the field of application, which are unforeseen. 2
13) Being able to plan and manage activities for the development of those under their responsibility within the framework of a project. 2
14) Possess advanced level theoretical and practical knowledge supported by textbooks with updated information, practice equipments and other resources. 1
15) Being able to inform relevant individuals and institutions about the field; expressing their thoughts and solution proposals for problems both in written and verbal form. 1
16) Being able to share your thoughts and solutions regarding subjects related to the field with both experts and non-experts, supported by quantitative and qualitative data. 1

Learning Activity and Teaching Methods

Anlatım
Bireysel çalışma ve ödevi
Course
Grup çalışması ve ödevi

Measurement and Evaluation Methods and Criteria

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Homework

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 2 % 30
Midterms 1 % 30
Final 1 % 40
total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
total % 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities Number of Activities Aktiviteye Hazırlık Aktivitede Harçanan Süre Aktivite Gereksinimi İçin Süre Workload
Course Hours 5 6 30
Homework Assignments 2 48 96
Midterms 1 24 24
Final 1 24 24
Total Workload 174