Skip to content

Latest commit

 

History

History
84 lines (63 loc) · 3.23 KB

README.md

File metadata and controls

84 lines (63 loc) · 3.23 KB

CD201

CodeDocs course 201 for session 2018-19: odd semester

Web Development

Course Admin : Akshay Sharma (@Akshaysharma) Mentors : Amrit Srivastava (@amritsrivastava), Aditya Agarwal (@aditya81070), Abhishek Mohata(@amohata007)

Lecture Topics
Lecture 0 Getting started with HTML
Lecture 1 CSS - Styling the Web
Lecture 2 Responsive Web Design
Lecture 3 Javascript Fundamentals
Lecture 4 Client Side Scripting
Lecture 5 Server Side Scripting
Lecture 6 Introduction to CRUD
Lecture 7 Working with database
Lecture 8 Introduction to frameworks, libraries and essential tools

Android Development

Course Admin : Namandeep Singh (@nd-singh) Mentors : Soumil Khandelwal (@soumilk), Yukti Goswami (@ukigos), Abhimanyu Shekhawat (@abhimanyu121)

Lecture Topics
Lecture 0 Getting started with Android and Android architecture
Lecture 1 Basics of JAVA
Lecture 2 Setting up Android SDK and First Project
Lecture 3 Building a basic Android app, layouts
Lecture 4 Activities & Intents
Lecture 5 Connect to the internet (JSON and more)
Lecture 6 UI of Android & preferences
Lecture 7 Data Storage in Android - SQLite
Lecture 8 Firebase, RecyclerView & Fragments
Lecture 9 Android APIs

Data Science w/ Python!

Course Admin : Aditya Kaushik (@aditya98ak)

Lecture Topics
Lecture 0 Python Express : Basics of Python to kickstart Data Science
Lecture 1 Data Analysis Part 1 : Intro to NumPy, Pandas
Lecture 2 Data Analysis Part 2 : DA w/ Numpy and Pandas
Lecture 3 Data Visualisation Part 1 : DV w/ MatPlotLib, Seaborn(½)
Lecture 4 Data Visualisation Part 2 : DV w/ Searborn(2/2), pandas built in dv
Lecture 5 Data PreProcessing Track Rev : Rev and Intro to PlotLy, Cufflinks
Lecture 6 ML Intro Track Part 1SL1 : Supervised Learning, Linear Regression, Logistic Regression [Basics]
Lecture 7 ML Intro Track Part 2SL2 : CV Set, Bias-Variance,Regularization
Lecture 8 ML Intro Track Part 3 : ML System Design, Precision Recall
Lecture 9 ML Intro Track Part 4 UL : Unsupervised Learning, K-Means Clustering, PCA,Intro To Recommender System

Graphic Designing

Course Admin : Soumil Khandelwal (@soumilk)

Lecture Topics
Lecture 0 Introduction to Photoshop Tools
Lecture 1 Layer Blending Modes
Lecture 2 Layer mask and photo manupulation
Lecture 3 Light, Shadow and subject adjustments
Lecture 4 Retouching, Sharpaning effects with advance tools
Lecture 5 Adobe Illustrator: Intorduction to Illustrator tools
Lecture 6 Drawing and making basic structures

Extra

Git & GitHub

Mentor : Aditya Agarwal (@aditya81070)

  • Intro to Git and GitHub
  • Diving deep into Git