Signals and Systems
Course introduction
1/9
Syllabus
Signals: classification of signals; signal operations: scaling, shifting and inversion;
signal properties: symmetry, periodicity and absolute integrability; elementary signals.
Systems: classification of systems; system properties: linearity, time/shift-invariance,
causality, stability; continuous-time linear time invariant (LTI) and discrete-time linear
shift invariant (LSI) systems: impulse response and step response; response to an
arbitrary input: convolution; system representation using differential and difference
equations; Eigen functions of LTI/ LSI systems, frequency response and its relation to
the impulse response. Signal representation: signal space and orthogonal bases; Fourier
series representation of continuous-time and discrete-time signals; continuous-time
Fourier transform and its properties; Parseval’s relation, time-bandwidth product;
discrete-time Fourier transform and its properties; relations among various Fourier
representations. Laplace transform: ROC, bilateral, unilateral. Sampling: sampling
theorem; aliasing; signal reconstruction: ideal interpolate, zero-order hold, first-order
hold; discrete Fourier transform and its properties. Time and frequency
characterization of signals: linear and nonlinear phase, group delay, bode plot.
2/9
Signals and Systems
References:
1. Classroom discussion and notes form the major reference.
2. A. V. Oppenheim, A. S. Willsky, and H. S. Nawab, Signals and Systems, 2nd
edition. Pearson, 2015.
3. M. J. Roberts and G. Sharma, Fundamentals of Signals and Systems, 2nd edition.
McGraw-Hill Education, 2017
4. B. P. Lathi, Signal Processing and Linear Systems. Oxford University Press, 2006.
5. R. F. Ziemer, W. H. Tranter, and D. R. Fannin, Signals and Systems - Continuous
and Discrete, 4th edition. Pearson, 2014.
6. S. Haykin and B. V. Veen, Signals and Systems. Wiley, 2007
3/9
Evaluation based learning
▶ Problem solving assignment (A): Max. marks - depends on
#Tutorial/assignments with upper bound of 12
▶ 2 marks assignment for each tutorials. Total depends on the number of tutorial
classes.
▶ Programming assignment (B): Max. marks - 10
▶ Two to Four programming assignment based on Mathworks tools
▶ Tutorial quiz (C) Max. marks - depends on #Tutorial with upper bound of 18
▶ One 15 min quiz on quiz-tutorial session. (3 marks each)
▶ Peer evaluation based on answers discussed in class. (2 mark for solving and 1 mark
based on evaluation) The student will identify his peer for evaluation purpose and
own responsibility of safe return of his/her answer sheet to the TAs.
▶ Each evaluation mark will be awarded to the respective student who wrote the exam.
It is the responsibility of the peer who evaluates the sheets to write accurate
comments to help the student.
4/9
Evaluation based learning
▶ Mid Semester exam (D) Max. marks -48
▶ End sem exams (E = E1+E2) Max. marks -72
▶ The exam have 2 parts (E1 and E2) with 2:1 sharing.
▶ Part 2 will be evaluated only for eligible students (AB,AA,AS).
▶ Discussion activities (F) Max. marks -10
▶ Classroom and Teams group discussion.
▶ Evaluated qualitatively based on number of interactions, interactions initiated and
quality of all the posts.
▶ Project (G) No numerical marks awarded
▶ Reports will be evaluated for specific students who can get AA/AS grades
5/9
Grading
Policy:
Grade Total (D)+(E)+(F) Additional
AS > t11 > t21 Should be outstanding
AA > t11 > t22
AB > t11 > t23
BB > t12
BC > t13
CC > t14
CD > t15
DD > t16
Total = (A)+(B)+(C)+(D)+(E1)+(F)
6/9
Course norms:
▶ The course encourage students to develop self learning, learning in a group and
ability to think along the lines of course contents.
▶ The following points are mandatory to be followed in the course. Any violation
will invite severe penalty(ies).
▶ No AI tools.
▶ No plagiarism on assignments, reports and/or exams
▶ Standard exam and classroom protocols need to be followed.
▶ Students can meet the instructor in his office (# 212, EEE) during office hours
(4:30 PM to 5:30 PM, subject to change) for discussions. It is recommended to
fill the meeting request form or email before the visit to ensure availability.
▶ Course number EE220 should be mentioned in the subject for all course related
emails.
Email Subject: ”EE220 - ......”
To: aloshious @ iitg.ac.in
CC: Preferably copy to respective TAs.
7/9
Let us start
Course Instructor
▶ Dr. Arun B Aloshious, Room No. 212, EEE Dept, (aloshious@ iitg.ac.in)
Tutorial Instructors
▶ Dr. Arun B Aloshious
▶ Dr. Kannan Karthik
▶ Dr. Manish Bhatt
▶ Dr. Rishikesh Dilip Kulkarni
TAs
▶ Biswa Pratap Singh
▶ Mane Pooja
▶ Sadhana S
▶ Satish Jageshwar Mohjare
▶ Swagata Buragohain
8/9
