SlideShare a Scribd company logo
1
Bangladesh Army University of Engineering & Technology
Qadirabad, Natore
Faculty of Electrical and Computer Engineering
Department of Information and Communication Engineering
1. Course Information
Program: Information and Communication Engineering (ICE)
Course Code & Title: ICE 2151: Discrete Mathematics
Semester: Fall-2021
Level: 2nd
Year 1st
Semester
Credit Hour: 2.00 Hr
Name & Designation ofTeacher: Md. Nazmul Hussain Lecturer,Dept. of CE
Class Hours: Monday 09.15 AM -10.10 AM, Wednesday 09.15 AM – 10.10 AM
Consultation Hours: Thursday 12:05 PM-01:00 PM
E-mail: nazmulece12@gmail.com
Mobile: +8801752061777
Rationale: To impart analytical ability to describe, analyze and solving
mathematical problems as applied to the respective branches of
Engineering in a logical and systematic fashion.
Pre-requisite (ifany): None
2. Course Objective
Objective:
1. To understand Set theory, relations, functions
2. Read, understand and construct mathematical arguments.
3. To understand Recurrence Relation, Generating functions and Algebraic Systems and their applications in
coding theory - Group codes.
3. Course Contain
Course Contents:
Mathematical Logic: Connectives, Theory of inference for proposition calculus, Predicate calculus, Inference
theory of predicate calculus, Method of proof, Mathematical induction.
Sets: Basic concept of set theory, Operation of sets, Ordered pairs and n-tuples.
Relation and Ordering: Relations, Properties of binary relation in a set, Composition of binary relation,
Relation matrix and graph of a relation, Partial ordering, Path in relation and di-graph.
Functions: Definition, Composition of function, Inverse function, Binary and array operation.
Graph: Introduction to graph, Graph terminology, representing graph and graph isomorphism, Paths, Reach
ability, connectivity, Euler and Hamilton path, shortest path problems, Graph coloring, Matrix representation of
graph.
4. Learning Materials
2
Reference Book:
1 Theory and Problems of Discrete Mathematics Schaum's outline series-Lipshutz
2 Elements of Discrete Mathematics McGraw-Hill, 1985-C.L. Liu
3 Discrete Mathematical Structure Sharon Ross
*Additional reading material: PowerPoint slides & PDF provided by the teacher
5. Statement of Course Outcome (CO) and their mapping
Knowledge Profile(s): WK2, WK3
Course
Outcomes
(CO)
Statements PO/
WA
POI
Code
Bloom’s
Taxonomy
Level
Delivery
methods and
activities
Assessment
Tools
CO1 Define a logic sentence in terms of
predicates, quantifiers, and logical
connectives.
1 P.01.2.C3 C3
Lectures,
Handouts,
White Board
Writing,
Text Book,
Class
Observation/
Homework,
Assignments,
Class Tests,
Semester Final
Examination
(Written)
CO2 Apply the rules of inference and
methods of proof, including direct
and indirect proof, proof by
contradiction, and mathematical
induction, to solve mathematical
problem.
2 P.02.3.C4 C4
Mapping of Course Outcomes (CO) and Program Outcomes (PO):
Course
Outcomes
( CO)
Program Outcome (PO)
1 2 3 4 5 6 7 8 9 10 11 12
CO1 H
CO2 H
High (H)=3, Medium(M)=2 and Low(L)=1
6. AssessmentofCourse Outcome
Teaching-learning and Assessment Strategy: Class Assessment,Assignments, Class Tests and
Semester Final Exam
Assessment Method
CO PO/
WA
Bloom’s
Taxonomy
Level
WP EA Remarks
Class Tests 1 1 C3 Best 3 out of 4
ClassTests/Assignments willbe
2 2 C4
3
Assignments 1,2 1,2 C3,C4 1,2 --- considered
Semester Final Exam
(Written)
1 1 C3 Question 1 from Section A and
Question 5 from Section B will
satisfy specified COs, POs and WPs
2 2 C4
7. Details of Lecture Plan
Sl.
No.
Contentof Course Lecture COs Teaching
Aids
Teaching&
AssessmentTools
01
 Connectives,
 Theory of inference for proposition
calculus,
 Predicate calculus,
 Inference theory of predicate calculus,
 Method of proof,
 Mathematical induction.
05 Lec CO1
CO2
Power
Point
slides Text
Book,
White
Board
Lectures, Class
Participation/Indivi
dual or Group
Discussion
Class Test-01
02
 Basic concept of set theory,
 Operation of sets,
 Ordered pairs and n-tuples.
04 Lec CO1
CO2
Power
Point
slides Text
Book,
White
Board
Lectures, Class
Participation/Indivi
dual or Group
Discussion
Class Test
Class Test-02
03
 Relations,
 Properties of binary relation in a set
 Composition of binary relation,
 Relation matrix and graph of a relation
 Partial ordering,
 Path in relation and di-graph.
05 Lec CO1
CO2
Power
Point
slides
Text Book,
White
Board
Lectures, Class
Participation/I
ndividual or Group
Discussion Class Test
Assignment
Class Test-03
04
 Definition of function
 Composition of function,
 Inverse function,
 Binary and array operation.
04 Lec CO1
CO2
Power
Point
slides
Text Book,
White
Board
Lectures, Class
Participation/I
ndividual or Group
Discussion Class Test
Assignment
05
 Introduction to graph,
 Graph terminology,
 Representing graph
 graph isomorphism
03 Lec CO2
Power
Point
slides
Text Book,
White
Board
Lectures, Class
Participation/I
ndividual or Group
Discussion
Class Test-04
06  Paths, 05 Lec CO1
CO2
Power Lectures, Class
Participation/I
4
 Reach ability,
 connectivity,
 Euler
 Hamilton path,
 Shortest path problems,
 Graph coloring,
 Matrix representation of graph.
Point
slides
Text Book,
White
Board
ndividual or Group
Discussion
Review Class
08 a. Review the important concept of the
previous classes
02 Lec Power
Point
slides
b. Addressing student’s queries Text
Book,
White
Board
Course Assessment Methods & their Weights:
Assessment Method (%)
Continuous Assessment 05
Assignments 05
Class Tests 20
Semester Final Exam 70
Total: 100
Continuous Internal Assessment (CIA) – Breakup of 30 marks
Bloom’s
Category
Class Tests
(20)
Assignments
(5)
Continuous
Assessment
(5)
Remarks
Remember 0
5
Best 3 out of
4 Class
Tests/Assign
ments will be
considered
Understand 0
Apply 10 2.5
Analyze 10 2.5
Evaluate 0
Create 0
SemesterFinal Examination (SFE) –Breakup (total 70 marks)
Bloom’s Category Test
(70)
Remarks
Remember 10 Question 1 from
Section A and Question
5 from Section B will
satisfy specified COs
and POs
Understand 15
Apply 20
Analyze 20
Evaluate 05
Create 00
5
Assignment and Class Test Schedule:
Sl. Event Date (Tentative) Remark
1 Class Test-01
2 Assignment-01
3 Class Test-02
4 Assignment-02
5 Class Test-03
6 Class Test-04
Minimum Attendance: 70% class attendance is mandatory for a student in order to
appear at the final examination.
Grading System: As per the approved grading scale of Bangladesh Army University of
Engineering & Technology (BAUET), Qadirabad, Natore (Appendix-I)
Student’sresponsibilities:
a. Students must come to the class prepared for the course material coveredin the
previous class.
b. They must submit their assignments ontime.
c. No late or partial assignments will be acceptable.
d. There will be no make-up Class Test.
14%
21%
29%
29%
7%0%
Bloom's Level Wise MarksDistribution
Level 1
Level 2
Level 3
Level 4
Level 5
Level 6
6
Appendix-I (Grading Policy):
Numerical Score Letter Grade Grade points
80% and above A+ A (Plus) 4.00
75% to > 80% A A (Regular) 3.75
70% to > 75% A- A (Minus) 3.50
65% to > 70% B+ B (Plus) 3.25
60% to > 65% B B (Regular) 3.00
55% to > 60% B- B (Minus) 2.75
50% to > 55% C+ C (Plus) 2.50
45% to > 50% C C (Regular) 2.25
40% to > 45% D D (Pass) 2.00
below 40% F Fail 0.00
Assigned courses are not
appeared
I - Incomplete
As per academic policy W - Withdrawn
Failed to submit X - Projects/Thesis Continuation
Due to offence E - Expelled
*I-Incomplete; *W-Withdrawn; *X-Projects/Thesis Continuation; *E-Expell
*The subject in which the student gets F grade shall not be counted towards credit hours
requirements and for the calculation of Grade Point Average (GPA). Students failing in a course/
courses due to being expelled, dis-collegiate, absent will be treated as F according to Grading system.
Prepared by:
Md.Nazmul Hussain
Lecturer
Dept. of ICE, BAUET
Checked by:
Dr. Md Rubel Basar
Assistant Professor,
Dept. of ICE, BAUET
Approved by: (Head of the Dept.)
Dr. Rubaiyat Yasmin
Professor & Head(In-Charge)
Dept. of ICE, BAUET

More Related Content

Similar to OBE_ICE2151 Discrete Mathematics.docx

syllabus.pdf
syllabus.pdfsyllabus.pdf
syllabus.pdf
Harsh2op
 
Course plan computer graphics
Course plan computer graphicsCourse plan computer graphics
Course plan computer graphics
aa11bb11
 
dm_12_Review_Class.pdf
dm_12_Review_Class.pdfdm_12_Review_Class.pdf
dm_12_Review_Class.pdf
SanjanaAdri
 
CSE0105 Class 0.pdf
CSE0105 Class 0.pdfCSE0105 Class 0.pdf
CSE0105 Class 0.pdf
VAMPIREGAMING2
 
Math 205 syllabus Fall 2012
Math 205 syllabus Fall 2012Math 205 syllabus Fall 2012
Math 205 syllabus Fall 2012
Jeneva Clark
 
httpsvtu.ac.inpdd2021syllabusofengineering
httpsvtu.ac.inpdd2021syllabusofengineeringhttpsvtu.ac.inpdd2021syllabusofengineering
httpsvtu.ac.inpdd2021syllabusofengineering
Arjun Bc
 
Hand out dm
Hand out dmHand out dm
Hand out dm
kanaka vardhini
 
applied math 2nd semester diploma
applied math 2nd semester diplomaapplied math 2nd semester diploma
applied math 2nd semester diploma
sakhi pathak
 
New fe-syllabus-2
New fe-syllabus-2New fe-syllabus-2
New fe-syllabus-2
peeyoosha kulkarni
 
Nummeth0 ay1415
Nummeth0 ay1415Nummeth0 ay1415
Nummeth0 ay1415
Melvin Cabatuan
 
First_Year syllabus nep.pdf
First_Year syllabus nep.pdfFirst_Year syllabus nep.pdf
First_Year syllabus nep.pdf
VijayKamble86
 
M098 Syllabus Fall 2011
M098 Syllabus Fall 2011M098 Syllabus Fall 2011
M098 Syllabus Fall 2011
chairsty
 
DME Syllabus.pdf
DME Syllabus.pdfDME Syllabus.pdf
DME Syllabus.pdf
Ankushkhansole3
 
Discrete-Mathematics syllabus sample.docx
Discrete-Mathematics syllabus sample.docxDiscrete-Mathematics syllabus sample.docx
Discrete-Mathematics syllabus sample.docx
LaizaMaeRodriguezAgn
 
Calicut MCA Syllebus
Calicut MCA SyllebusCalicut MCA Syllebus
Calicut MCA Syllebus
Rakesh T
 
C20_assement_ANIL.pptx
C20_assement_ANIL.pptxC20_assement_ANIL.pptx
C20_assement_ANIL.pptx
PrasadKumarCM
 
CMSC198 summer2012 syllabus
CMSC198 summer2012 syllabusCMSC198 summer2012 syllabus
CMSC198 summer2012 syllabus
Akilah Jackson
 
AN E XAMINATION OF T HE E FFECTIVENESS OF T EACHING D ATA M ODELLING C ONCEPTS
AN E XAMINATION OF T HE E FFECTIVENESS OF T EACHING D ATA M ODELLING C ONCEPTSAN E XAMINATION OF T HE E FFECTIVENESS OF T EACHING D ATA M ODELLING C ONCEPTS
AN E XAMINATION OF T HE E FFECTIVENESS OF T EACHING D ATA M ODELLING C ONCEPTS
ijdms
 
Outline
OutlineOutline
21scheme vtu syllabus of visveraya technological university
21scheme vtu syllabus of visveraya technological university21scheme vtu syllabus of visveraya technological university
21scheme vtu syllabus of visveraya technological university
Mohd Saifudeen
 

Similar to OBE_ICE2151 Discrete Mathematics.docx (20)

syllabus.pdf
syllabus.pdfsyllabus.pdf
syllabus.pdf
 
Course plan computer graphics
Course plan computer graphicsCourse plan computer graphics
Course plan computer graphics
 
dm_12_Review_Class.pdf
dm_12_Review_Class.pdfdm_12_Review_Class.pdf
dm_12_Review_Class.pdf
 
CSE0105 Class 0.pdf
CSE0105 Class 0.pdfCSE0105 Class 0.pdf
CSE0105 Class 0.pdf
 
Math 205 syllabus Fall 2012
Math 205 syllabus Fall 2012Math 205 syllabus Fall 2012
Math 205 syllabus Fall 2012
 
httpsvtu.ac.inpdd2021syllabusofengineering
httpsvtu.ac.inpdd2021syllabusofengineeringhttpsvtu.ac.inpdd2021syllabusofengineering
httpsvtu.ac.inpdd2021syllabusofengineering
 
Hand out dm
Hand out dmHand out dm
Hand out dm
 
applied math 2nd semester diploma
applied math 2nd semester diplomaapplied math 2nd semester diploma
applied math 2nd semester diploma
 
New fe-syllabus-2
New fe-syllabus-2New fe-syllabus-2
New fe-syllabus-2
 
Nummeth0 ay1415
Nummeth0 ay1415Nummeth0 ay1415
Nummeth0 ay1415
 
First_Year syllabus nep.pdf
First_Year syllabus nep.pdfFirst_Year syllabus nep.pdf
First_Year syllabus nep.pdf
 
M098 Syllabus Fall 2011
M098 Syllabus Fall 2011M098 Syllabus Fall 2011
M098 Syllabus Fall 2011
 
DME Syllabus.pdf
DME Syllabus.pdfDME Syllabus.pdf
DME Syllabus.pdf
 
Discrete-Mathematics syllabus sample.docx
Discrete-Mathematics syllabus sample.docxDiscrete-Mathematics syllabus sample.docx
Discrete-Mathematics syllabus sample.docx
 
Calicut MCA Syllebus
Calicut MCA SyllebusCalicut MCA Syllebus
Calicut MCA Syllebus
 
C20_assement_ANIL.pptx
C20_assement_ANIL.pptxC20_assement_ANIL.pptx
C20_assement_ANIL.pptx
 
CMSC198 summer2012 syllabus
CMSC198 summer2012 syllabusCMSC198 summer2012 syllabus
CMSC198 summer2012 syllabus
 
AN E XAMINATION OF T HE E FFECTIVENESS OF T EACHING D ATA M ODELLING C ONCEPTS
AN E XAMINATION OF T HE E FFECTIVENESS OF T EACHING D ATA M ODELLING C ONCEPTSAN E XAMINATION OF T HE E FFECTIVENESS OF T EACHING D ATA M ODELLING C ONCEPTS
AN E XAMINATION OF T HE E FFECTIVENESS OF T EACHING D ATA M ODELLING C ONCEPTS
 
Outline
OutlineOutline
Outline
 
21scheme vtu syllabus of visveraya technological university
21scheme vtu syllabus of visveraya technological university21scheme vtu syllabus of visveraya technological university
21scheme vtu syllabus of visveraya technological university
 

More from Subrata Kumer Paul

Chapter 9. Classification Advanced Methods.ppt
Chapter 9. Classification Advanced Methods.pptChapter 9. Classification Advanced Methods.ppt
Chapter 9. Classification Advanced Methods.ppt
Subrata Kumer Paul
 
Chapter 13. Trends and Research Frontiers in Data Mining.ppt
Chapter 13. Trends and Research Frontiers in Data Mining.pptChapter 13. Trends and Research Frontiers in Data Mining.ppt
Chapter 13. Trends and Research Frontiers in Data Mining.ppt
Subrata Kumer Paul
 
Chapter 8. Classification Basic Concepts.ppt
Chapter 8. Classification Basic Concepts.pptChapter 8. Classification Basic Concepts.ppt
Chapter 8. Classification Basic Concepts.ppt
Subrata Kumer Paul
 
Chapter 2. Know Your Data.ppt
Chapter 2. Know Your Data.pptChapter 2. Know Your Data.ppt
Chapter 2. Know Your Data.ppt
Subrata Kumer Paul
 
Chapter 12. Outlier Detection.ppt
Chapter 12. Outlier Detection.pptChapter 12. Outlier Detection.ppt
Chapter 12. Outlier Detection.ppt
Subrata Kumer Paul
 
Chapter 7. Advanced Frequent Pattern Mining.ppt
Chapter 7. Advanced Frequent Pattern Mining.pptChapter 7. Advanced Frequent Pattern Mining.ppt
Chapter 7. Advanced Frequent Pattern Mining.ppt
Subrata Kumer Paul
 
Chapter 11. Cluster Analysis Advanced Methods.ppt
Chapter 11. Cluster Analysis Advanced Methods.pptChapter 11. Cluster Analysis Advanced Methods.ppt
Chapter 11. Cluster Analysis Advanced Methods.ppt
Subrata Kumer Paul
 
Chapter 10. Cluster Analysis Basic Concepts and Methods.ppt
Chapter 10. Cluster Analysis Basic Concepts and Methods.pptChapter 10. Cluster Analysis Basic Concepts and Methods.ppt
Chapter 10. Cluster Analysis Basic Concepts and Methods.ppt
Subrata Kumer Paul
 
Chapter 6. Mining Frequent Patterns, Associations and Correlations Basic Conc...
Chapter 6. Mining Frequent Patterns, Associations and Correlations Basic Conc...Chapter 6. Mining Frequent Patterns, Associations and Correlations Basic Conc...
Chapter 6. Mining Frequent Patterns, Associations and Correlations Basic Conc...
Subrata Kumer Paul
 
Chapter 5. Data Cube Technology.ppt
Chapter 5. Data Cube Technology.pptChapter 5. Data Cube Technology.ppt
Chapter 5. Data Cube Technology.ppt
Subrata Kumer Paul
 
Chapter 3. Data Preprocessing.ppt
Chapter 3. Data Preprocessing.pptChapter 3. Data Preprocessing.ppt
Chapter 3. Data Preprocessing.ppt
Subrata Kumer Paul
 
Chapter 4. Data Warehousing and On-Line Analytical Processing.ppt
Chapter 4. Data Warehousing and On-Line Analytical Processing.pptChapter 4. Data Warehousing and On-Line Analytical Processing.ppt
Chapter 4. Data Warehousing and On-Line Analytical Processing.ppt
Subrata Kumer Paul
 
Chapter 1. Introduction.ppt
Chapter 1. Introduction.pptChapter 1. Introduction.ppt
Chapter 1. Introduction.ppt
Subrata Kumer Paul
 
Data Mining Lecture_8(a).pptx
Data Mining Lecture_8(a).pptxData Mining Lecture_8(a).pptx
Data Mining Lecture_8(a).pptx
Subrata Kumer Paul
 
Data Mining Lecture_13.pptx
Data Mining Lecture_13.pptxData Mining Lecture_13.pptx
Data Mining Lecture_13.pptx
Subrata Kumer Paul
 
Data Mining Lecture_9.pptx
Data Mining Lecture_9.pptxData Mining Lecture_9.pptx
Data Mining Lecture_9.pptx
Subrata Kumer Paul
 
Data Mining Lecture_7.pptx
Data Mining Lecture_7.pptxData Mining Lecture_7.pptx
Data Mining Lecture_7.pptx
Subrata Kumer Paul
 
Data Mining Lecture_10(b).pptx
Data Mining Lecture_10(b).pptxData Mining Lecture_10(b).pptx
Data Mining Lecture_10(b).pptx
Subrata Kumer Paul
 
Data Mining Lecture_8(b).pptx
Data Mining Lecture_8(b).pptxData Mining Lecture_8(b).pptx
Data Mining Lecture_8(b).pptx
Subrata Kumer Paul
 
Data Mining Lecture_6.pptx
Data Mining Lecture_6.pptxData Mining Lecture_6.pptx
Data Mining Lecture_6.pptx
Subrata Kumer Paul
 

More from Subrata Kumer Paul (20)

Chapter 9. Classification Advanced Methods.ppt
Chapter 9. Classification Advanced Methods.pptChapter 9. Classification Advanced Methods.ppt
Chapter 9. Classification Advanced Methods.ppt
 
Chapter 13. Trends and Research Frontiers in Data Mining.ppt
Chapter 13. Trends and Research Frontiers in Data Mining.pptChapter 13. Trends and Research Frontiers in Data Mining.ppt
Chapter 13. Trends and Research Frontiers in Data Mining.ppt
 
Chapter 8. Classification Basic Concepts.ppt
Chapter 8. Classification Basic Concepts.pptChapter 8. Classification Basic Concepts.ppt
Chapter 8. Classification Basic Concepts.ppt
 
Chapter 2. Know Your Data.ppt
Chapter 2. Know Your Data.pptChapter 2. Know Your Data.ppt
Chapter 2. Know Your Data.ppt
 
Chapter 12. Outlier Detection.ppt
Chapter 12. Outlier Detection.pptChapter 12. Outlier Detection.ppt
Chapter 12. Outlier Detection.ppt
 
Chapter 7. Advanced Frequent Pattern Mining.ppt
Chapter 7. Advanced Frequent Pattern Mining.pptChapter 7. Advanced Frequent Pattern Mining.ppt
Chapter 7. Advanced Frequent Pattern Mining.ppt
 
Chapter 11. Cluster Analysis Advanced Methods.ppt
Chapter 11. Cluster Analysis Advanced Methods.pptChapter 11. Cluster Analysis Advanced Methods.ppt
Chapter 11. Cluster Analysis Advanced Methods.ppt
 
Chapter 10. Cluster Analysis Basic Concepts and Methods.ppt
Chapter 10. Cluster Analysis Basic Concepts and Methods.pptChapter 10. Cluster Analysis Basic Concepts and Methods.ppt
Chapter 10. Cluster Analysis Basic Concepts and Methods.ppt
 
Chapter 6. Mining Frequent Patterns, Associations and Correlations Basic Conc...
Chapter 6. Mining Frequent Patterns, Associations and Correlations Basic Conc...Chapter 6. Mining Frequent Patterns, Associations and Correlations Basic Conc...
Chapter 6. Mining Frequent Patterns, Associations and Correlations Basic Conc...
 
Chapter 5. Data Cube Technology.ppt
Chapter 5. Data Cube Technology.pptChapter 5. Data Cube Technology.ppt
Chapter 5. Data Cube Technology.ppt
 
Chapter 3. Data Preprocessing.ppt
Chapter 3. Data Preprocessing.pptChapter 3. Data Preprocessing.ppt
Chapter 3. Data Preprocessing.ppt
 
Chapter 4. Data Warehousing and On-Line Analytical Processing.ppt
Chapter 4. Data Warehousing and On-Line Analytical Processing.pptChapter 4. Data Warehousing and On-Line Analytical Processing.ppt
Chapter 4. Data Warehousing and On-Line Analytical Processing.ppt
 
Chapter 1. Introduction.ppt
Chapter 1. Introduction.pptChapter 1. Introduction.ppt
Chapter 1. Introduction.ppt
 
Data Mining Lecture_8(a).pptx
Data Mining Lecture_8(a).pptxData Mining Lecture_8(a).pptx
Data Mining Lecture_8(a).pptx
 
Data Mining Lecture_13.pptx
Data Mining Lecture_13.pptxData Mining Lecture_13.pptx
Data Mining Lecture_13.pptx
 
Data Mining Lecture_9.pptx
Data Mining Lecture_9.pptxData Mining Lecture_9.pptx
Data Mining Lecture_9.pptx
 
Data Mining Lecture_7.pptx
Data Mining Lecture_7.pptxData Mining Lecture_7.pptx
Data Mining Lecture_7.pptx
 
Data Mining Lecture_10(b).pptx
Data Mining Lecture_10(b).pptxData Mining Lecture_10(b).pptx
Data Mining Lecture_10(b).pptx
 
Data Mining Lecture_8(b).pptx
Data Mining Lecture_8(b).pptxData Mining Lecture_8(b).pptx
Data Mining Lecture_8(b).pptx
 
Data Mining Lecture_6.pptx
Data Mining Lecture_6.pptxData Mining Lecture_6.pptx
Data Mining Lecture_6.pptx
 

Recently uploaded

Question paper of renewable energy sources
Question paper of renewable energy sourcesQuestion paper of renewable energy sources
Question paper of renewable energy sources
mahammadsalmanmech
 
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEM
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEMTIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEM
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEM
HODECEDSIET
 
Engine Lubrication performance System.pdf
Engine Lubrication performance System.pdfEngine Lubrication performance System.pdf
Engine Lubrication performance System.pdf
mamamaam477
 
A review on techniques and modelling methodologies used for checking electrom...
A review on techniques and modelling methodologies used for checking electrom...A review on techniques and modelling methodologies used for checking electrom...
A review on techniques and modelling methodologies used for checking electrom...
nooriasukmaningtyas
 
ML Based Model for NIDS MSc Updated Presentation.v2.pptx
ML Based Model for NIDS MSc Updated Presentation.v2.pptxML Based Model for NIDS MSc Updated Presentation.v2.pptx
ML Based Model for NIDS MSc Updated Presentation.v2.pptx
JamalHussainArman
 
Manufacturing Process of molasses based distillery ppt.pptx
Manufacturing Process of molasses based distillery ppt.pptxManufacturing Process of molasses based distillery ppt.pptx
Manufacturing Process of molasses based distillery ppt.pptx
Madan Karki
 
Eric Nizeyimana's document 2006 from gicumbi to ttc nyamata handball play
Eric Nizeyimana's document 2006 from gicumbi to ttc nyamata handball playEric Nizeyimana's document 2006 from gicumbi to ttc nyamata handball play
Eric Nizeyimana's document 2006 from gicumbi to ttc nyamata handball play
enizeyimana36
 
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTCHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
jpsjournal1
 
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
ISPM 15 Heat Treated Wood Stamps and why your shipping must have oneISPM 15 Heat Treated Wood Stamps and why your shipping must have one
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
Las Vegas Warehouse
 
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELDEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
gerogepatton
 
ACEP Magazine edition 4th launched on 05.06.2024
ACEP Magazine edition 4th launched on 05.06.2024ACEP Magazine edition 4th launched on 05.06.2024
ACEP Magazine edition 4th launched on 05.06.2024
Rahul
 
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdfIron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
RadiNasr
 
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
insn4465
 
CSM Cloud Service Management Presentarion
CSM Cloud Service Management PresentarionCSM Cloud Service Management Presentarion
CSM Cloud Service Management Presentarion
rpskprasana
 
spirit beverages ppt without graphics.pptx
spirit beverages ppt without graphics.pptxspirit beverages ppt without graphics.pptx
spirit beverages ppt without graphics.pptx
Madan Karki
 
Heat Resistant Concrete Presentation ppt
Heat Resistant Concrete Presentation pptHeat Resistant Concrete Presentation ppt
Heat Resistant Concrete Presentation ppt
mamunhossenbd75
 
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoringEmbedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
IJECEIAES
 
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesHarnessing WebAssembly for Real-time Stateless Streaming Pipelines
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Christina Lin
 
basic-wireline-operations-course-mahmoud-f-radwan.pdf
basic-wireline-operations-course-mahmoud-f-radwan.pdfbasic-wireline-operations-course-mahmoud-f-radwan.pdf
basic-wireline-operations-course-mahmoud-f-radwan.pdf
NidhalKahouli2
 
Modelagem de um CSTR com reação endotermica.pdf
Modelagem de um CSTR com reação endotermica.pdfModelagem de um CSTR com reação endotermica.pdf
Modelagem de um CSTR com reação endotermica.pdf
camseq
 

Recently uploaded (20)

Question paper of renewable energy sources
Question paper of renewable energy sourcesQuestion paper of renewable energy sources
Question paper of renewable energy sources
 
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEM
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEMTIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEM
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEM
 
Engine Lubrication performance System.pdf
Engine Lubrication performance System.pdfEngine Lubrication performance System.pdf
Engine Lubrication performance System.pdf
 
A review on techniques and modelling methodologies used for checking electrom...
A review on techniques and modelling methodologies used for checking electrom...A review on techniques and modelling methodologies used for checking electrom...
A review on techniques and modelling methodologies used for checking electrom...
 
ML Based Model for NIDS MSc Updated Presentation.v2.pptx
ML Based Model for NIDS MSc Updated Presentation.v2.pptxML Based Model for NIDS MSc Updated Presentation.v2.pptx
ML Based Model for NIDS MSc Updated Presentation.v2.pptx
 
Manufacturing Process of molasses based distillery ppt.pptx
Manufacturing Process of molasses based distillery ppt.pptxManufacturing Process of molasses based distillery ppt.pptx
Manufacturing Process of molasses based distillery ppt.pptx
 
Eric Nizeyimana's document 2006 from gicumbi to ttc nyamata handball play
Eric Nizeyimana's document 2006 from gicumbi to ttc nyamata handball playEric Nizeyimana's document 2006 from gicumbi to ttc nyamata handball play
Eric Nizeyimana's document 2006 from gicumbi to ttc nyamata handball play
 
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTCHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
 
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
ISPM 15 Heat Treated Wood Stamps and why your shipping must have oneISPM 15 Heat Treated Wood Stamps and why your shipping must have one
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
 
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELDEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
 
ACEP Magazine edition 4th launched on 05.06.2024
ACEP Magazine edition 4th launched on 05.06.2024ACEP Magazine edition 4th launched on 05.06.2024
ACEP Magazine edition 4th launched on 05.06.2024
 
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdfIron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
 
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
 
CSM Cloud Service Management Presentarion
CSM Cloud Service Management PresentarionCSM Cloud Service Management Presentarion
CSM Cloud Service Management Presentarion
 
spirit beverages ppt without graphics.pptx
spirit beverages ppt without graphics.pptxspirit beverages ppt without graphics.pptx
spirit beverages ppt without graphics.pptx
 
Heat Resistant Concrete Presentation ppt
Heat Resistant Concrete Presentation pptHeat Resistant Concrete Presentation ppt
Heat Resistant Concrete Presentation ppt
 
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoringEmbedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
 
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesHarnessing WebAssembly for Real-time Stateless Streaming Pipelines
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
 
basic-wireline-operations-course-mahmoud-f-radwan.pdf
basic-wireline-operations-course-mahmoud-f-radwan.pdfbasic-wireline-operations-course-mahmoud-f-radwan.pdf
basic-wireline-operations-course-mahmoud-f-radwan.pdf
 
Modelagem de um CSTR com reação endotermica.pdf
Modelagem de um CSTR com reação endotermica.pdfModelagem de um CSTR com reação endotermica.pdf
Modelagem de um CSTR com reação endotermica.pdf
 

OBE_ICE2151 Discrete Mathematics.docx

  • 1. 1 Bangladesh Army University of Engineering & Technology Qadirabad, Natore Faculty of Electrical and Computer Engineering Department of Information and Communication Engineering 1. Course Information Program: Information and Communication Engineering (ICE) Course Code & Title: ICE 2151: Discrete Mathematics Semester: Fall-2021 Level: 2nd Year 1st Semester Credit Hour: 2.00 Hr Name & Designation ofTeacher: Md. Nazmul Hussain Lecturer,Dept. of CE Class Hours: Monday 09.15 AM -10.10 AM, Wednesday 09.15 AM – 10.10 AM Consultation Hours: Thursday 12:05 PM-01:00 PM E-mail: nazmulece12@gmail.com Mobile: +8801752061777 Rationale: To impart analytical ability to describe, analyze and solving mathematical problems as applied to the respective branches of Engineering in a logical and systematic fashion. Pre-requisite (ifany): None 2. Course Objective Objective: 1. To understand Set theory, relations, functions 2. Read, understand and construct mathematical arguments. 3. To understand Recurrence Relation, Generating functions and Algebraic Systems and their applications in coding theory - Group codes. 3. Course Contain Course Contents: Mathematical Logic: Connectives, Theory of inference for proposition calculus, Predicate calculus, Inference theory of predicate calculus, Method of proof, Mathematical induction. Sets: Basic concept of set theory, Operation of sets, Ordered pairs and n-tuples. Relation and Ordering: Relations, Properties of binary relation in a set, Composition of binary relation, Relation matrix and graph of a relation, Partial ordering, Path in relation and di-graph. Functions: Definition, Composition of function, Inverse function, Binary and array operation. Graph: Introduction to graph, Graph terminology, representing graph and graph isomorphism, Paths, Reach ability, connectivity, Euler and Hamilton path, shortest path problems, Graph coloring, Matrix representation of graph. 4. Learning Materials
  • 2. 2 Reference Book: 1 Theory and Problems of Discrete Mathematics Schaum's outline series-Lipshutz 2 Elements of Discrete Mathematics McGraw-Hill, 1985-C.L. Liu 3 Discrete Mathematical Structure Sharon Ross *Additional reading material: PowerPoint slides & PDF provided by the teacher 5. Statement of Course Outcome (CO) and their mapping Knowledge Profile(s): WK2, WK3 Course Outcomes (CO) Statements PO/ WA POI Code Bloom’s Taxonomy Level Delivery methods and activities Assessment Tools CO1 Define a logic sentence in terms of predicates, quantifiers, and logical connectives. 1 P.01.2.C3 C3 Lectures, Handouts, White Board Writing, Text Book, Class Observation/ Homework, Assignments, Class Tests, Semester Final Examination (Written) CO2 Apply the rules of inference and methods of proof, including direct and indirect proof, proof by contradiction, and mathematical induction, to solve mathematical problem. 2 P.02.3.C4 C4 Mapping of Course Outcomes (CO) and Program Outcomes (PO): Course Outcomes ( CO) Program Outcome (PO) 1 2 3 4 5 6 7 8 9 10 11 12 CO1 H CO2 H High (H)=3, Medium(M)=2 and Low(L)=1 6. AssessmentofCourse Outcome Teaching-learning and Assessment Strategy: Class Assessment,Assignments, Class Tests and Semester Final Exam Assessment Method CO PO/ WA Bloom’s Taxonomy Level WP EA Remarks Class Tests 1 1 C3 Best 3 out of 4 ClassTests/Assignments willbe 2 2 C4
  • 3. 3 Assignments 1,2 1,2 C3,C4 1,2 --- considered Semester Final Exam (Written) 1 1 C3 Question 1 from Section A and Question 5 from Section B will satisfy specified COs, POs and WPs 2 2 C4 7. Details of Lecture Plan Sl. No. Contentof Course Lecture COs Teaching Aids Teaching& AssessmentTools 01  Connectives,  Theory of inference for proposition calculus,  Predicate calculus,  Inference theory of predicate calculus,  Method of proof,  Mathematical induction. 05 Lec CO1 CO2 Power Point slides Text Book, White Board Lectures, Class Participation/Indivi dual or Group Discussion Class Test-01 02  Basic concept of set theory,  Operation of sets,  Ordered pairs and n-tuples. 04 Lec CO1 CO2 Power Point slides Text Book, White Board Lectures, Class Participation/Indivi dual or Group Discussion Class Test Class Test-02 03  Relations,  Properties of binary relation in a set  Composition of binary relation,  Relation matrix and graph of a relation  Partial ordering,  Path in relation and di-graph. 05 Lec CO1 CO2 Power Point slides Text Book, White Board Lectures, Class Participation/I ndividual or Group Discussion Class Test Assignment Class Test-03 04  Definition of function  Composition of function,  Inverse function,  Binary and array operation. 04 Lec CO1 CO2 Power Point slides Text Book, White Board Lectures, Class Participation/I ndividual or Group Discussion Class Test Assignment 05  Introduction to graph,  Graph terminology,  Representing graph  graph isomorphism 03 Lec CO2 Power Point slides Text Book, White Board Lectures, Class Participation/I ndividual or Group Discussion Class Test-04 06  Paths, 05 Lec CO1 CO2 Power Lectures, Class Participation/I
  • 4. 4  Reach ability,  connectivity,  Euler  Hamilton path,  Shortest path problems,  Graph coloring,  Matrix representation of graph. Point slides Text Book, White Board ndividual or Group Discussion Review Class 08 a. Review the important concept of the previous classes 02 Lec Power Point slides b. Addressing student’s queries Text Book, White Board Course Assessment Methods & their Weights: Assessment Method (%) Continuous Assessment 05 Assignments 05 Class Tests 20 Semester Final Exam 70 Total: 100 Continuous Internal Assessment (CIA) – Breakup of 30 marks Bloom’s Category Class Tests (20) Assignments (5) Continuous Assessment (5) Remarks Remember 0 5 Best 3 out of 4 Class Tests/Assign ments will be considered Understand 0 Apply 10 2.5 Analyze 10 2.5 Evaluate 0 Create 0 SemesterFinal Examination (SFE) –Breakup (total 70 marks) Bloom’s Category Test (70) Remarks Remember 10 Question 1 from Section A and Question 5 from Section B will satisfy specified COs and POs Understand 15 Apply 20 Analyze 20 Evaluate 05 Create 00
  • 5. 5 Assignment and Class Test Schedule: Sl. Event Date (Tentative) Remark 1 Class Test-01 2 Assignment-01 3 Class Test-02 4 Assignment-02 5 Class Test-03 6 Class Test-04 Minimum Attendance: 70% class attendance is mandatory for a student in order to appear at the final examination. Grading System: As per the approved grading scale of Bangladesh Army University of Engineering & Technology (BAUET), Qadirabad, Natore (Appendix-I) Student’sresponsibilities: a. Students must come to the class prepared for the course material coveredin the previous class. b. They must submit their assignments ontime. c. No late or partial assignments will be acceptable. d. There will be no make-up Class Test. 14% 21% 29% 29% 7%0% Bloom's Level Wise MarksDistribution Level 1 Level 2 Level 3 Level 4 Level 5 Level 6
  • 6. 6 Appendix-I (Grading Policy): Numerical Score Letter Grade Grade points 80% and above A+ A (Plus) 4.00 75% to > 80% A A (Regular) 3.75 70% to > 75% A- A (Minus) 3.50 65% to > 70% B+ B (Plus) 3.25 60% to > 65% B B (Regular) 3.00 55% to > 60% B- B (Minus) 2.75 50% to > 55% C+ C (Plus) 2.50 45% to > 50% C C (Regular) 2.25 40% to > 45% D D (Pass) 2.00 below 40% F Fail 0.00 Assigned courses are not appeared I - Incomplete As per academic policy W - Withdrawn Failed to submit X - Projects/Thesis Continuation Due to offence E - Expelled *I-Incomplete; *W-Withdrawn; *X-Projects/Thesis Continuation; *E-Expell *The subject in which the student gets F grade shall not be counted towards credit hours requirements and for the calculation of Grade Point Average (GPA). Students failing in a course/ courses due to being expelled, dis-collegiate, absent will be treated as F according to Grading system. Prepared by: Md.Nazmul Hussain Lecturer Dept. of ICE, BAUET Checked by: Dr. Md Rubel Basar Assistant Professor, Dept. of ICE, BAUET Approved by: (Head of the Dept.) Dr. Rubaiyat Yasmin Professor & Head(In-Charge) Dept. of ICE, BAUET