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Thursday, February 16, 2023
PLACEMENT TRAINING
Wednesday, February 1, 2023
WEB TECHNOLOGIES - MINOR (by CSE) - III/IV - 2022-23 - PVP20 - PVPSIT
- syllabus
- Micro Syllabus
- Academic Calendar
- Attendance
- Class Schedule
-
Day
Time
Room No.
Mon
4:00 - 5:00
448
Tue
4:00 - 5:00
448
Wed
4:00 - 5:00
247
Thu
4:00 - 5:00
448
Unit - I
Day | Time | Room No. |
---|---|---|
Mon | 4:00 - 5:00 | 448 |
Tue | 4:00 - 5:00 | 448 |
Wed | 4:00 - 5:00 | 247 |
Thu | 4:00 - 5:00 | 448 |
Unit - II
JavaScript
XML
- XML Schema and Parsers are out of the syllabus
Unit - III (JDBC)
- JDBC architecture
- Driver Picture
- JDBC STEPS ( ppt - external link - https://www.albany.edu/~goel/classes/spring2006/itm602/notes/jdbc.ppt)
- Courtesy Sanjay Goel
- Programs
ASSIGNMENT - I
Unit - IV (Servlet)Wednesday, August 3, 2022
Mobile Application Development (IV - I CSE PVPSIT)
MAD Theory (19CS3701)
Unit - I
Unit - II
Unit - V
MAD LAB(19CS3751)
- LAB Syllabus
- Lesson Plan
- ppt - Sample Hello World Android Application
- Menus in Android- Theory
- Steps to create menus in Android Studio
- Steps to follow
- Experiment - 1
- Experiment - 2
- Experiment - 3
- Experiment - 4
- Experiment - 5
- Experiment - 6
- Experiment - 7
- Experiment - 8
- Experiment - 9
- Marks Distribution for Internal & External Lab Exams
- Dates for Experiments
- Experiment - 1
- Experiment - 2
- Experiment - 3
- Experiment - 4
- Experiment - 5
- Experiment - 6
- Experiment - 7
- Experiment - 8
- Experiment - 9
Wednesday, February 2, 2022
Data Mining using Python LAB_IV_2021-22_R20_IT_LBRCE
Syllabus
Lesson Plan - A Section
Lesson Plan - B Section
Experiment - 1
Experiment - 2 Experiment - 3
Experiment - 4 - Build a model using a linear regression algorithm on any dataset. Experiment - 5 - Decision Tree
Experiment - 6 - Naive Bayes Classifier
Experiment - 7 - Apriori Algorithm
Experiment - 8,9,10 - Clustering - K - means, Hierarchical, DBSCAN
DWDM_Theory_IV_2021-22_R20_IT_LBRCE
- Syllabus
- Time Tables
- Lesson Plan
- Lecture Notes
- Unit - I ppt (click here to view)
- Unit - II
- Datamining Introduction, Motivating Challenges
- Datamining Origin & Tasks, Types of Data
- Data Quality
- Data Preprocessing
- Similarity and Dissimilarity measures (by Dr.Bhagath, CSE, LBRCE)
- Measures of Similarity and Dissimilarity
- Unit - III
- Descriptive Questions (Cycle - I)
- Assignment Questions (Cycle - I)
- Assignment Marks
- Mid Objective Question Paper
- Key for Mid Objective Question Paper
- Unit - IV - Association Analysis:
- Unit - V - Clustering:
- Cycle - II
- Mid-II Question Papers
- DESCRIPTIVE - final answers - Scheme
- solution for 2(a) - Apriori
- solution for 3(a) - K means
- solution for 3(d) - Dendrogram - Hierarchical - Single link - Euclidean
- OBJECTIVE - Answers
- Mid Marks
- Consolidated Internal Marks
- External Question Paper
- Unit - I ppt (click here to view)
- Unit - II
- Datamining Introduction, Motivating Challenges
- Datamining Origin & Tasks, Types of Data
- Data Quality
- Data Preprocessing
- Similarity and Dissimilarity measures (by Dr.Bhagath, CSE, LBRCE)
- Measures of Similarity and Dissimilarity
- Unit - III
- Unit - IV - Association Analysis:
- Unit - V - Clustering:
- DESCRIPTIVE - final answers - Scheme
- solution for 2(a) - Apriori
- solution for 3(a) - K means
- solution for 3(d) - Dendrogram - Hierarchical - Single link - Euclidean
- OBJECTIVE - Answers
Tuesday, December 14, 2021
Python Material
- Cheat Sheet for Regular Expression ( Courtesy: www.dataquest.io )
- python ppt for keywords, Data Types, Literals , print() & input(), Operators
- Order of Programs in Neopat
- Lists in python - external link
- Dictionaries in python - external link
Friday, November 26, 2021
Introduction to Database 2021-22 ECE VII LBRCE
-
Academic Calendar
-
Roll List
-
Time Table
Day Time Class room Thursday 3:10-4:10 ECE IV year B Section Friday 3:10-4:10 ECE III year C Section Saturday 3:10-4:10 ECE III year B Section Syllabus
Course Hand out / Lesson Plan
Descriptive Questions ( Unit Wise)
Objective Questions ( Unit Wise)
Unit - I ( click for notes)
Unit - II ( click for notes)
Mid-I Question papers
Mid-I Marks
OBJECTIVE
Functional Dependency (ppt)
Notes for Normalization(ppt)
Notes for Normalization(pdf)
Videos
Unit - III(ppt)( click for notes)
Unit - IV
Functional Dependency (ppt)
Video Lecture on Functional Dependency(video)
Notes for Normalization(ppt)
Notes for Normalization(pdf)
Videos
Unit - V
Transaction System
Serializability of Schedules
Log based Recovery
Testing of Serializability
Check Point
ARIES Algorithm
Mid-II Question Papers
MID-II MARKS
CONSOLIDATED MID MARKS
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