MM317 : Mathematical Logic

Department

Department of Mathematics

Academic Program

Bachelor in mathematics

Type

Compulsory

Credits

03

Prerequisite

MM101

Overview

The course introduces students to the study of the logic of propositions and the study of informal logical systems. It also aims to study logical systems and prove their theorems that depend on definitions as inference rules. It also deals with the study of logical systems and proving their theorems that depend on logical equivalences as inference rules, and quantum logic.

Intended learning outcomes

By the end of the course, the student should be able to:

1. Determine the type of logical case

2. Recognize the concept of logical equivalence, logical arguments, and the rules of logical inference

3. Recognize the concept of the comprehensive quantifier and the partial quantifier

4. Learn some method of proof

5. The student distinguishes between the correct and logical propositions, and between simple and compound propositions

6. The student compares the truth tables for each of the logical conjunctions

7. Explain how truth tables are formed

8. Explain the logical equivalence of logical propositions

9. Explain ways of proving logical arguments

10. Compare the concept of the comprehensive quantifier and the partial quantifier

11. Compare the methods of proof

12. The concept of the logical case is used to know the type of any declarative statement

13. Use validity tables to study the validity of logical propositions

14. Use truth tables to determine the type of logical case

15. Employ the laws of logical equivalence to prove the validity of logical propositions

16. Use the laws of mathematical reasoning to prove the validity of the logical argument

17. The universal quantifier and the partial quantifier are used to form mathematical expressions

18. Apply the proofs steps to prove the validity of the mathematical relationship

Teaching and learning methods

1. Theoretical lectures

2. Discussion and dialogue

3. Brainstorm

4. Using mathematical proof methods

5. Exercises, trainings, and multi-idea problem solving

Methods of assessments

1. A written exam ( essay + objective ) = 25 marks, or its assessment is left to the course instructor

2. Short tests ( written or oral ), demonstration tasks, applications, exercises, and presentation =15 marks or left to the course instructor

3. Written final exam ( essay +objective ) = 60 marks

Course content:

The week

Scientific subject

The number of hours

A lecture

Exercise

Discussion

1

Logical case and its types

2

2-3-4

5

6

Boolean joins and truth tables

First midterm exam ( 2 hours )

Logical correctives and contradictions

6

2

7-8

Logical equivalence

4

9

10

11-12

Logical arguments and rules of inference

Second midterm exam (2 hours)

Logical arguments and rules of inference

2

4

13

14-15

Comprehensive quantifier and partial quantifier

Proof methods

2

2

16

Final exam

The total

28

The reviewer:

References address

Publisher

Release

Author

Where it is located

Discrete mathematics

Easy Chum Briefs

International House Cultural Investment

Egypt

The first

2006

Dr..Seymour Lipchter

Dr..Mark Lebussen

Translation

Dr..Intisar MuhammadAl-shabki

Department library

Arabic language 1 (AR103)
Linear Algebra 1 (MM105)
Planar and Analytical Geometry (MM103)
Quranic Studies 1 (AR101)
computer 1 (CS100)
General Mathematics 1 (MM101)
General English1 (EN100)
Fundamentals of Education (EPSY101)
General Psychology (EPSY 100)
Introduction to Statistics (ST101)
Quranic studies2 (AR102)
Aerospace Engineering (MM114)
General Mathematics 2 (MM102)
Linear Algebra (2) (MM215)
Developmental Psychology (EPSY 203)
General Teaching Methods (EPSY 201)
General English2 (EN101)
Computer 2 (CS101)
Introduction to the science of Probabilities (ST102)
Arabic language 2 (AR104)
Basics Of Curriculums (EPSY 202)
Mathematical Logic (MM317)
Educational Psychology (EPSY 200)
Arabic language 3 (AR105)
Ordinary Differential Equations 1 (MM202)
Static (MM206)
General Mathematics3 (MM211)
Ordinary Differential Equations 2 (MM311)
Vector analysis (MM214)
Mathematical statistics (ST202)
Set Theory (MM213)
Arabic language 4 (AR106)
Research Methods (EPSY301)
Measurements and Evaluation (EPSY 302)
Methods of teaching mathematics (MM208)
Teaching learning Aids (EPSY 303)
Word processing (CS 202)
Psychological Health (EPSY 401)
School mathematics 1 (MM309)
Complex Analysis 1 (MM305)
Real Analysis 1 (MM303)
Dynamics (MM207)
Abstract Algebra 1 (MM302)
Complex Analysis 2 (MM306)
School mathematics2 (MM310)
Real Analysis 2 (MM304)
Abstract Algebra 2 (MM403)
Numerical Analysis (MM308)
measurement theory (MM410E)
Integral equations (MM409E)
Operations Research (MM408E)
History of Mathematics (MM407E)
Functional Analysis (MM406E)
linear programming (MM405E)
Partial Differential Equations (MM401)
Teaching applications (MM400)
Graduation project (MM404)
Teaching Practice (EPSY 402)