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Sample Course Plan

CET 306 – DESIGN OF HYDRAULIC STRUCTURES

SAMPLE COURSE PLAN

DAY	MODULE	TOPIC
1	1	Introduction
2	1	Diversion headwork components and functions
3	1	Diversion headwork components and functions
4	2	cross drainage structures – types
5	3	Hydraulic design of Aqueduct and demonstration of drawing
6	3	Hydraulic design of Aqueduct and demonstration of drawing
7	3	Hydraulic design of Aqueduct and demonstration of drawing
8	3	Hydraulic design of Aqueduct and demonstration of drawing
9	3	Hydraulic design of Aqueduct and demonstration of drawing
10	3	Hydraulic design of Siphon Aqueduct and demonstration of drawing
11	3	Hydraulic design of Siphon Aqueduct and demonstration of drawing
12	3	Hydraulic design of Siphon Aqueduct and demonstration of drawing
13	3	Hydraulic design of Siphon Aqueduct and demonstration of drawing
14	3	Hydraulic design of Siphon Aqueduct and demonstration of drawing
15	3	Hydraulic design of Siphon Aqueduct and demonstration of drawing
16	3	Hydraulic design of Siphon Aqueduct and demonstration of drawing
17	2	Canal falls-Necessity, types
18	3	Canal drop (Trapezoidal Notch Fall)
19	3	Canal drop (Trapezoidal Notch Fall)
20	3	Canal drop (Trapezoidal Notch Fall)
21	3	Canal drop (Trapezoidal Notch Fall)
22	3	Canal drop (Trapezoidal Notch Fall)
23	1	Weirs – types and causes of failure
24	1	Weirs – types and causes of failure
25	1	Impervious floor of hydraulic structures – Bligh’s theory
26	1	Design of vertical drop weir
27	1	Design of vertical drop weir
28	1	Design of vertical drop weir
29	1	Design of impervious floor of hydraulic structures by Khosla’s theory
30	1	Design of impervious floor of hydraulic structures by Khosla’s theory
31	1	Design of impervious floor of hydraulic structures by Khosla’s theory
32	1	Design of impervious floor of hydraulic structures by Khosla’s theory
33	1	Design of impervious floor of hydraulic structures by Khosla’s theory
34	3	Sarda type fall (trapezoidal crest impervious floor design using Khosla’s theory)
35	3	Sarda type fall (trapezoidal crest impervious floor design using Khosla’s theory)
36	3	Sarda type fall (trapezoidal crest impervious floor design using Khosla’s theory)
37	3	Sarda type fall (trapezoidal crest impervious floor design using Khosla’s theory)
38	3	Sarda type fall (trapezoidal crest impervious floor design using Khosla’s theory)
39	3	Cross regulator (impervious floor design using Khosla’s theory)
40	3	Cross regulator (impervious floor design using Khosla’s theory)
41	3	Cross regulator (impervious floor design using Khosla’s theory)
42	3	Cross regulator (impervious floor design using Khosla’s theory)
43	3	Cross regulator (impervious floor design using Khosla’s theory)
44	2	Canals-types, Cross section of unlined canals and alignment;
45	2	Design of canals through alluvial soils- Kennedy’s theory
46	2	Design of canals through alluvial soils- Kennedy’s theory
47	2	Lacey’s silt theory
48	2	Lacey’s silt theory
49	2	Lacey’s silt theory
50	4	Dams-types
51	4	Gravity Dams Computation of forces
52	4	Gravity Dams Computation of forces
53	4	Modes of failure and stability criteria
54	4	Modes of failure and stability criteria
55	4	Stability analysis
56	4	Stability analysis
57	4	Elementary and practical profile
58	4	Elementary and practical profile
59	4	Limiting height of gravity dams
60	5	Earth dams-types, causes of failure and design criteria
61	5	Arch dams- thin cylinder theory
62	5	Arch dams- thin cylinder theory
63	5	Spillways-types

CLASS ADVISORS

Department of CSE – Class Advisors List
Year of Admission	Class	Class advisors
2018	CSE A	Ms. Sruthy Suresh, Ms. Siyamol C, Ms. Hema Krishnan
2018	CSE B	Ms. Anitha T Nair, Ms. Remya R, Ms. Meera Treesa Mathews
2019	CSE A	Ms. Chethna Joy, Ms. Neenu Johnson, Mr. Anuranj P
2019	CSE B	Dr. Paul P Mathai, Ms. Merin Cherian, Ms. Jismy Mathew
2020	CSE A	Ms. Divya John, Ms. Meenu Mathew
2020	CSE B	Ms. Hansa J Thattil, Ms. Roshna K I
2021	CSE A	Dr. Reshmi R, Ms. Soumya S Raj, Ms.Vidhya T P
	CSE B	Ms. Shimy Joseph, Ms. Preethi N P, Mr. Antu P J
	CSD	Dr. Prasad J C, Ms. Lakshmi S, Ms. Honeymol P Chacko
2022	CSE A	Ms. Anitha T Nair, Ms. Jismy Mathew
	CSE B	Dr. Hema Krishnan, Ms. Remya R
	CSE C	Dr. Siyamol C, Ms. Simi Stephen
	CSD	Ms. Sruthy Suresh, Ms. Meera Treesa Mathews, Ms. Bini V K
2023	CSE A	Dr. Paul P Mathai, Ms. Neenu Johnson
	CSE B	Mr. Anuranj P, Ms. Nithya Paul
	CSE C	Ms. Chethna Joy, Ms. Sheelu Susan
	CSD	Ms. Merin Cherian, Ms. Beenu Riju

PO-PSO Mapping to CO

Academic Year : 2021-2022
Semester : S6

Course : DESIGN OF HYDRAULIC STRUCTURES
Course Code : CET 306

COURSE OUTCOMES

CO Number	CO Description
CET306.1	Elucidate the causes of failure, principles of design of different components of hydraulic structures
CET306.2	Describe the features of canal structures and perform the design of alluvial canals
CET306.3	Perform the hydraulic design of minor irrigation structures such as cross drainage works, canal falls, cross regulator
CET306.4	Prepare the scaled drawings of different minor irrigation structures
CET306.5	Describe the design principles and features of dams and perform the stability analysis of gravity dams

CO – PO MAPPING

CO	PO1	PO2	PO3	PO4	PO5	PO6	PO7	PO8	PO9	PO10	PO11	PO12
CET306.1	3	2	0	0	0	0	1	0	0	0	0	0
CET306.2	0	2	3	0	0	0	0	0	0	0	0	0
CET306.3	3	3	3	0	0	0	0	0	0	0	0	0
CET306.4	0	0	0	0	0	0	0	0	0	3	0	0
CET306.5	3	2	3	0	0	1	1	0	0	0	0	0
Overall Mapping	3	3	3	0	0	1	1	0	0	3	0	0

CO-PSO MAPPING

CO	PSO1	PSO2	PSO3
CET306.1	0	0	0
CET306.2	0	3	0
CET306.3	0	3	0
CET306.4	0	0	0
CET306.5	0	2	0
Overall Mapping	0	3	0

PO-PSO

Programme Outcome (PO)

PO1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO11. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Program Specific Outcomes (PSO)

After successful completion of B.Tech in Civil Engineering, the students will be able to:

PSO 1: Feasibility of Civil Engineering Projects: Conduct surveys and site investigations for residential and public buildings, industries, hydraulic structures, transportation systems, town planning, water distribution and waste management systems and prepare feasibility studies for such projects.

PSO 2: Analysis and Design in Civil Engineering: Plan, analyse and design Civil Engineering solutions like foundations, super structures, bridges, highways, railways, airports, hydraulic structures, water treatment, waste treatment plants, giving due consideration to society, cost, safety and sustainability.

PSO 3: Execution of Civil Engineering Projects: Supervise, test and evaluate construction of structures, materials, manage resources and maintenance of structures.

M.Tech

The M.Tech graduate program in Structural Engineering and Construction Management focuses to impart advanced knowledge in the field of Structural Engineering and Construction Management and make them capable of providing solutions with professional and ethical responsibility. The course also gives importance to research based projects and to prepare students for teaching and further research, in addition to making them ready to satisfy current needs of the industry.

Sanctioned Intake – 24

B.Tech

The B.Tech graduate program in Civil Engineering envisages to provide students with a good understanding of Civil Engineering solutions in a global, societal and environmental context, consistent with the principles of sustainable development. The course will make the students capable in identifying, formulating and solving civil engineering problems that meet specified performance, cost, time, safety and other quality needs and objectives with professional and ethical responsibility.

Sanctioned Intake – 120

PO-PSO Mapping to CO

Sample (PO-PSO Mapping to CO)

Programme Assessment Committee

To monitor the activities of CAC and oversee the academic activities of the department, the Programme Assessment Committee (PAC) of the department meets twice in a semester.The functions of PAC includes:

Recommend actions to address the gaps in curriculum in align with industry and academic standards.
Develop and plan academic activities to improve the quality of the program as informed by the DAC and DQAC for the semester.
Prepare the Department calendar in line with the university and institution calendar.
Analyse the attainment of POs & periodically revise target levels for POs
Coordinate the bridge courses, add-on courses, and other co-curricular activities to enhance student competencies and ensure industry readiness.
Suggest remedial actions for improvement of attainments and analyse the effectiveness of remedial measures and provide recommendations for continuous improvement.
To monitor the feedback processes and identify corrective measures on the overall feedback received from various stakeholders about the program management.
Analyse the research activities of the department such as publications and funding

PAC Members (2024-2025)

Sl.No	Name of the Faculty	Designation
1	Dr. Deepa Mary Mathews	Head of the Department
2	Dr. Shidha M V	Convener PAC
3	Ms. Manju Joy	Member (CAC Head – AI & Data Science)
4	Dr. Sujesh P Lal	Member (CAC Head – OS, IoT & Mobile Computing)
5	Dr. Shahna K U	Member (NBA)
6	Dr. Rose Mary Mathew	Member (DQAC)

Sample Attainment

The target to be achieved for each course includes two parameters:

Expected Proﬁciency /Knowledge (EP) :-

It is the grade secured by around 50% of the total number of students in the previous university examinations.

Expected Attainment (EA) :-The percentage of students who attain the expected proficiency.

Academic Year	Year	O	A+	A	B+	B	C	P	F	No. of Students Registered
Academic Year	Year	(90 and Above)	85 – 89	80 – 84	70 – 79	60 – 69	50 – 59	45 – 49	< 45	No. of Students Registered
CAY – 3	-3
CAY – 2	-2
CAY – 1	-1	0	0	1	12	16	23	4	4	60
No. of Students Obtained the grade		0	0	1	12	16	23	4	4	60
Count		1	1	1	1	1	1	1	1	1
Average		0	0	1	12	16	23	4	4	60
Average (%)		0.0	0.0	1.7	20.0	26.7	38.3	6.7	6.7
Cumulative (%)		0.0	0.0	1.7	21.7	48.3	86.7	93.3	100.0
Final (%)		0	0	1.67	21.67	48.34	86.67	93.34	100

Expected Proficiency is selected B and Expected Attainment is calculated assuming 5% improvement each year from the base year and it is obtained as 59%

ASSESSMENT PATTERN and MARK DISTRIBUTION
CO No.	Tests			Assignments		Total	Expected Proficiency	Expected Attainment
CO No.	T1	T2	T3	A1	A2	Total	Expected Proficiency	Expected Attainment
EE367.1	10					10	6.0	59.00%
EE367.2				10		10	6.0
EE367.3	20					20	12.0
EE367.4		15	40		10	65	39.0
EE367.5	20	20				40	24.0
EE367.6		15				15	6.8

The final direct course outcome is obtained as

ATTAINMENT LEVELS		TARGET
1 (Low)		45% students scoring more than 60% marks out of the relevant maximum marks.
2 (Medium)		55% students scoring more than 60% marks out of the relevant maximum marks.
3 (High)		65% students scoring more than 60% marks out of the relevant maximum marks.
Course Outcomes	EE367.1	EE367.2	EE367.3	EE367.4	EE367.5	EE367.6
Maximum CO marks	10	10	20	65	40	15
Expected Proficiency	6	6	12	39	24	9
Expected Attainment	59.00%
Roll No.	Course Outcome Marks						Total Marks
Roll No.	EE367.1	EE367.2	EE367.3	EE367.4	EE367.5	EE367.6	Total Marks
1	5	9	16	61	35	12	138
2	8	9	15	59	18	11	120
3	9	10	18	59	23	13	132
4	5	9	17	59	30	14	134
5	5	10	18	60	29	14	136
6	8	10	17	61	30	15	141
7	8	10	17	60	36	10	141
8	5	10	15	57	23	10	120
9	9	10	20	64	37	14	154
10	5	10	19	62	27	14	137
11	6	10	16	63	30	13	138
12	5	10	17	52	28	12	124
13	7	10	20	55	20	13	125
14	8	10	17	59	26	14	134
15	9	10	18	61	29	14	141
16	9	10	17	62	33	12	143
17	0	10	0	52	0	8	70
18	5	10	18	20	25	12	90
19	5	10	17	57	28	11	128
20	8	9	17	57	26	14	131
21	10	9	17	63	31	12	142
22	8	10	17	62	23	13	133
23	5	10	17	60	26	13	131
24	5	10	18	62	27	13	135
25	9	10	20	64	28	13	144
26	9	10	18	63	34	13	147
27	5	10	20	29	25	0	89
28	5	10	15	42	7	0	79
29	10	10	20	56	38	13	147
30	5	10	12	60	31	13	131
31	5	10	15	55	27	13	125
32	8	10	18	65	32	13	146
33	5	10	17	62	30	13	137
34	9	9	16	60	30	13	137
35	9	9	16	59	26	8	127
36	8	9	16	55	27	13	128
37	9	9	16	64	33	13	144
38	4	10	15	62	30	13	134
39	5	10	17	60	29	13	134
40	8	10	20	61	37	11	147
41	9	10	19	62	22	11	133
42	5	10	18	62	29	8	132
43	5	10	17	55	31	13	131
44	8	10	20	63	33	13	147
45	8	10	17	62	28	12	137
46	9	10	17	59	31	14	140
47	8	10	16	59	28	13	134
No. of students Scored ≥ EP (N)	27	47	46	45	39	42
Attainment (N/10)%	57.45	100.00	97.87	95.74	82.98	89.36
Attainment Level	2	3	3	3	3	3

The indirect and University attainment is obtained as below

Course Outcomes	EE367.1	EE367.2	EE367.3	EE367.4	EE367.5	EE367.6	University
Maximum CO marks	10	10	10	10	10	10	10
Expected Proficiency	6	6	6	6	6	6	6
Expected Attainment	59.00%
Roll No.	Course Outcome Marks						University Examination
Roll No.	EE367.1	EE367.2	EE367.3	EE367.4	EE367.5	EE367.6	University Examination
1	6	8	6	6	6	4	A+
2	6	6	8	8	10	8	A
3	6	6	6	6	6	6	C
4	10	10	10	10	10	10	B
5	4	6	4	6	4	6	A
6	10	10	10	10	10	10	B+
7	8	8	8	10	8	8	A+
8	8	6	8	6	8	6	B
9	6	6	6	6	6	6	OS
10	6	6	6	6	6	6	B+
11	6	6	6	6	6	6	B+
12	8	8	6	6	8	8	B+
13	6	4	4	6	6	6	B+
14	10	10	10	10	10	10	A
15	8	8	8	8	8	8	A+
16	10	10	10	10	10	10	A
17	10	10	10	10	10	10	B+
18	10	10	10	10	10	10	B
19	6	6	6	6	6	6	A
20	8	8	8	8	10	10	OS
21	10	10	8	8	10	8	B+
22	10	8	8	8	8	8	B+
23	10	10	10	10	10	10	C
24	8	8	6	6	6	10	A
25	8	8	8	8	8	8	B+
26	8	8	8	8	8	8	B+
27	10	10	10	10	10	10	B+
28	10	10	10	10	10	10	F
29	6	6	6	6	6	6	A
30	8	6	6	6	8	8	C
31	6	6	6	6	6	6	B+
32	10	10	10	10	10	10	B+
33	8	6	8	8	8	8	B
34	8	8	8	8	8	8	B
35	8	6	6	6	6	6	B+
36	10	10	10	10	10	10	C
37	8	8	8	8	8	8	A
38	10	10	10	10	10	10	B+
39	4	4	4	4	4	4	C
40	6	6	6	6	6	6	A
41	8	8	8	8	8	8	B+
42	10	10	10	10	10	10	B+
43	6	6	6	6	6	6	B+
44	4	4	4	4	4	4	B+
45	10	10	10	10	10	10	A
46	6	6	6	6	6	6	OS
47	10	8	8	6	6	6	OS
No. of students Scored ≥ EP (N)	44	44	43	45	44	44
Attainment (N/10)%	93.61702128	93.61702128	91.4893617	95.74468085	93.61702128	93.61702128
Attainment Level	3	3	3	3	3	3

The Final Co attainment is Calculated as

ASSESSMENT METHOD		WEIGHTAGE
Direct / Internal		50%
University Examination / External		40%
Indirect		10%
Course Outcome Assessments	Course Outcomes
	EE367.1	EE367.2	EE367.3	EE367.4	EE367.5	EE367.6
	ATTAINMENT % IN EACH ASSESSMENT
Direct Assessment (%)	57.45	100.00	97.87	95.74	82.98	89.36
University Assessment (%)	87.23	87.23	87.23	87.23	87.23	87.23
Indirect Assessment (%)	93.61702128	93.61702128	91.4893617	95.74468085	93.61702128	93.61702128
CO Attainment (%)	73.00	94.00	93.00	92.00	86.00	89.00
Attainment Level	3	3	3	3	3	3
Overall CO Attainment (%)	87.84%
Overall CO Attainment Level	3
Expected Attainment	59.00%

MCA (Two-Year)

The Master of Computer Applications (MCA) program at FISAT is a prestigious and highly sought-after course designed to shape students into top-class computer professionals. The program is structured to provide a strong foundation in computing, software development, and emerging technologies while also emphasizing practical exposure and industry relevance.

Two year Post graduate programme consisting of four semesters.
The annual intake is 60.
The programme is approved by AICTE and affiliated to the A.P.J. Abdul Kalam Technological University, Kerala.

Key Features:

Choice-Based Credit System (CBCS)
Industry-Relevant Curriculum
Placement & Industry Connect:
TechZenith Lab – Software Development Cell
Research & Innovation Opportunities:
Holistic Development

Eligibility Criteria:

Passed BCA/ Bachelor Degree in Computer Science Engineering or equivalent Degree OR
Passed B.Sc./ B.Com./ B.A. with Mathematics at 10+2 Level or at Graduation Level (with additional bridge Courses as per the norms of the concerned University).
Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying Examination
Must qualify entrance examination conducted by a competent authority as per the rules and regulations of KTU/AICTE/Govt

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