CodeDocs course 201 for session 2018-19: odd semester
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 |
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 |
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 |
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 |
Mentor : Aditya Agarwal (@aditya81070)