B.Sc. Data Science & Artificial Intelligence — Final Year

EXAM
WAR PLAN

High-intensity study schedule · March 25 – April 15 · 4 exams · DSA as side quest.
All times are IST. Morning blocks are reserved for exam subjects.

Start: Mar 25
End: Apr 15
Daily: 7 AM – 9:30 PM
Exams: 11 AM – 1 PM
Travel: 25 min each way
Exam 1
Machine Learning
April 9 · Thursday
Exam 2
Deep Learning (DIP)
April 11 · Saturday
Exam 3
NLP
April 13 · Monday
Exam 4
Big Data
April 15 · Wednesday
Machine Learning
Deep Learning / DIP
NLP
Big Data
DSA (Side Quest)
Exam Day
Break / Admin
01
Wednesday — March 25
Day 1 of 22 · ML Phase begins
MLDSA
▼
6:00 AM
Wake up · Freshen up · Breakfast
7:00–9:30
ML — Unit 1 Core
Mitchell's definition · ML types (Supervised, Unsupervised, RL, Semi-supervised) · ML lifecycle · Feature Engineering basics. Read QB Q1–Q6.
9:30–10:00
☕ Morning tea break
10:00–12:30
ML — Regression Deep Dive
Simple, Multiple, Polynomial regression · MSE, MAE, RMSE, R² · Overfitting/Underfitting · QB Q13–Q18. Write answers.
12:30–1:30
🍽️ Lunch + Rest
1:30–4:00
ML — Data Challenges + Ethics
Data cleaning, pre-processing · High dimensionality · Bias, privacy, security · QB Q7–Q12, Q19–Q20.
4:00–4:30
☕ Evening snack break
4:30–6:30
ML — Unit 1 Revision + Write-outs
Write 5-mark answers for all Unit 1 QB questions from memory. Self-check. Mark gaps.
6:30–7:00
🚶 Walk / unwind
7:00–8:30
DSA — 01: Start Here + 02: Big O
Why DSA matters for interviews · Time & Space complexity · O(1), O(n), O(log n), O(n²). Do exercises.
8:30–9:00
🍽️ Dinner
9:00–9:30
ML — Quick recap flash cards
Review key definitions from Unit 1. Light reading only.
10:00 PM
🛌 Sleep
02
Thursday — March 26
Day 2 · ML Unit 2
MLDSA
▼
6:00 AM
Wake up · Freshen up · Breakfast
7:00–9:30
ML — Unit 2: Regularization
L1 Lasso · L2 Ridge · Elastic Net · Alpha hyperparameter · Overfitting prevention. QB Q1–Q8.
9:30–10:00
☕ Break
10:00–12:30
ML — Unit 2: Classification Algorithms
Logistic Regression · KNN · Decision Tree · Random Forest · Gradient Boosting · SVM · Naïve Bayes. QB Q9–Q17.
12:30–1:30
🍽️ Lunch
1:30–4:00
ML — Unit 2: Metrics + Neural Nets + Workflow
Accuracy, Precision, Recall, F1, ROC-AUC · Neural Nets for classification · Full workflow. QB Q18–Q20. Write answers.
4:00–4:30
☕ Break
4:30–6:30
ML — Unit 2 Revision
Write all answers from memory. Compare Lasso vs Ridge vs Elastic Net table. SVM diagram.
6:30–7:00
🚶 Break
7:00–8:30
DSA — 03: Classes & Pointers + 04: Linked Lists
OOP concepts, pointers/references · Singly Linked List: nodes, head, insertion, deletion, traversal.
8:30–9:00
🍽️ Dinner
9:00–9:30
Light review: Unit 1 + 2 key formulas
10:00 PM
🛌 Sleep
03
Friday — March 27
Day 3 · ML Unit 3 (Unsupervised)
MLDSA
▼
6:00 AM
Wake up · Breakfast
7:00–9:30
ML — Unit 3: Unsupervised Learning + K-Means
Unsupervised vs Supervised · Clustering tasks · K-Means algorithm, steps, limitations · K-Medoids. QB Q1–Q9.
9:30–10:00
☕ Break
10:00–12:30
ML — Unit 3: Hierarchical + DBSCAN
Agglomerative, Divisive · Linkage methods (Single, Complete, Average, Ward's) · DBSCAN parameters. QB Q10–Q17.
12:30–1:30
🍽️ Lunch
1:30–4:00
ML — Unit 3: Dim. Reduction + Anomaly Detection
PCA, t-SNE intro · Anomaly detection (fraud, cybersecurity) · Compare clustering methods. QB Q18–Q20.
4:00–4:30
☕ Break
4:30–6:30
ML — Unit 3 Write-out Practice
Write DBSCAN, K-Means, hierarchical answers. Draw dendrograms from memory.
6:30–7:00
🚶 Break
7:00–8:30
DSA — 05: LL Coding + 06: LL LeetCode
Code linked list from scratch · Solve 2–3 LeetCode-style LL problems (reverse, find middle, detect cycle).
8:30–9:30
🍽️ Dinner + Wind down
10:00 PM
🛌 Sleep
04
Saturday — March 28
Day 4 · ML Unit 4 (Dim Reduction + RL)
MLDSA
▼
6:00 AM
Wake up · Breakfast
7:00–9:30
ML — Unit 4: PCA Deep Dive
Curse of Dimensionality · PCA steps, objectives, advantages/disadvantages · Kernel PCA, Sparse PCA, Robust PCA. QB Q1–Q10.
9:30–10:00
☕ Break
10:00–12:30
ML — Unit 4: t-SNE + Reinforcement Learning
t-SNE (non-linear, NLP/biomedical apps, limitations) · RL components: Policy, Reward, Value, Model · Exploration-exploitation trade-off. QB Q11–Q20.
12:30–1:30
🍽️ Lunch
1:30–4:00
ML — Full Unit 4 Write-out
Write answers for PCA steps, t-SNE vs PCA, RL components. Draw RL loop diagram.
4:00–4:30
☕ Break
4:30–6:30
ML — Cross-unit revision (Units 1–4)
Quick scan all QB. Mark questions you can't answer. Prioritize tomorrow.
6:30–7:00
🚶 Break
7:00–8:30
DSA — 07–09: Doubly Linked Lists
DLL structure, prev pointer · Insertions, deletions · DLL LeetCode problems.
8:30–9:30
🍽️ Dinner + Wind down
10:00 PM
🛌 Sleep
05
Sunday — March 29
Day 5 · ML Full Mock + DIP Start
MLDIPDSA
▼
6:00 AM
Wake up · Breakfast
7:00–10:00
ML — Full Mock Test (timed)
Write 8–10 answers from the full QB as if in exam. Time yourself. No peeking. 2 hours strict.
10:00–10:30
☕ Break + Self-grade mock test
10:30–12:00
ML — Fix weak answers from mock
Identify weak topics, rewrite those answers properly.
12:00–1:30
🍽️ Lunch + Rest
1:30–4:00
DIP — Unit 1 Introduction
DIP definition · Image processing system components · Applications · Image Formation & Representation · Spatial & Frequency domain. QB U1 Q1–Q5.
4:00–4:30
☕ Break
4:30–6:30
DIP — Unit 1: Filtering + Histogram
Histogram equalization & stretching · Salt & Pepper noise · Filtering techniques · Wiener Filter. QB U1 Q6–Q9.
6:30–7:00
🚶 Break
7:00–8:30
DSA — 10–12: Stacks & Queues
Stack LIFO, Queue FIFO · Implementations · Coding exercises · LeetCode problems (valid parentheses, etc.).
8:30–9:30
🍽️ Dinner + Wind down
10:00 PM
🛌 Sleep
06
Monday — March 30
Day 6 · DIP Units 2 & 3
DIPDSA
▼
6:00 AM
Wake up · Breakfast
7:00–9:30
DIP — Unit 2: Transformations + Compression
Image transformation · Sampling & quantization · RLE · Fourier Transform · DCT · Compression techniques. QB U2 Q1–Q7.
9:30–10:00
☕ Break
10:00–12:30
DIP — Unit 2: Huffman + JPEG + Wavelet
Solve Huffman coding problem (from QB: a=10, e=15, i=12, o=3, u=4, s=13, t=1) · JPEG compression process · Wavelet Transform types. QB U2 Q8–Q12.
12:30–1:30
🍽️ Lunch
1:30–4:00
DIP — Unit 3: Thresholding + Segmentation
Thresholding types (Global, Adaptive, Otsu's) · Color Image Processing (RGB, HSV) · Sobel/Prewitt edge detection · Watershed algorithm. QB U3 Q1–Q7.
4:00–4:30
☕ Break
4:30–6:30
DIP — Unit 3: CCL + Color Models
Connected Component Labeling (4 & 8 connectivity) · RGB model · HSV model (Hue, Saturation, Value). QB U3 Q8–Q10.
6:30–7:00
🚶 Break
7:00–8:30
DSA — 13–14: Trees + BST Coding
Tree terminology · BST: insert, search, delete · BST coding exercises.
8:30–9:30
🍽️ Dinner + Wind down
10:00 PM
🛌 Sleep
07
Tuesday — March 31
Day 7 · DIP Unit 4 + NLP Start
DIPNLPDSA
▼
6:00 AM
Wake up · Breakfast
7:00–9:30
DIP — Unit 4: Feature Extraction + CNN
Feature extraction importance · Pattern recognition stages · Hu Moments (advantages/limitations) · Zernike Moments · GLCM + Haralick features · CNN architecture. QB U4 Q1–Q10.
9:30–10:00
☕ Break
10:00–12:00
DIP — Full Mock Write-out
Write 8 answers from all DIP units timed. Check gaps.
12:00–1:30
🍽️ Lunch + Rest
1:30–4:00
NLP — Unit 1: History + Architecture
NLP definition · History & evolution · Generic NLP system architecture · Levels of NLP (lexical, syntactic, semantic, pragmatic) · Ambiguity types. QB U1 Long Q1–Q5.
4:00–4:30
☕ Break
4:30–6:30
NLP — Unit 1: Knowledge + Challenges + Apps
Types of NLP knowledge · Major challenges + solutions · Applications (MT, text classification, NER, sentiment analysis) · Rule-based vs Statistical vs DL NLP. QB U1 Long Q6–Q10.
6:30–7:00
🚶 Break
7:00–8:30
DSA — 15–17: Hash Tables
Hash functions, collisions, chaining · HT coding exercises · LeetCode problems (two sum, etc.).
8:30–9:30
🍽️ Dinner + Wind down
10:00 PM
🛌 Sleep
08
Wednesday — April 1
Day 8 · NLP Unit 2 (Word Level)
NLPDSA
▼
6:00 AM
Wake up · Breakfast
7:00–9:30
NLP — Unit 2: Morphology + Lemmatization
Word level analysis · Morphology, morphemes (free vs bound) · Derivational vs inflectional · Lemmatization vs stemming · Lemma with POS. QB U2 Long Q1–Q3.
9:30–10:00
☕ Break
10:00–12:30
NLP — Unit 2: Regex + Finite Automata + N-Grams
Regular expressions in NLP · Finite automata (formal definition, DFA vs NFA) · FST for morphological analysis · N-gram language models. QB U2 Long Q4–Q10.
12:30–1:30
🍽️ Lunch
1:30–4:00
NLP — Unit 3: POS Tagging
POS tagging purpose · Penn Treebank tag set · Rule-based vs stochastic tagging · CFG · Sequence labeling. QB U3 Long Q1–Q6.
4:00–4:30
☕ Break
4:30–6:30
NLP — Unit 3: HMM + MaxEnt + CRF
HMM for POS tagging · Maximum Entropy model · CRF architecture · Label bias problem · Compare HMM vs MaxEnt vs CRF. QB U3 Long Q7–Q10.
6:30–7:00
🚶 Break
7:00–8:30
DSA — 18–19: Graphs
Graph terminology · BFS, DFS · Adjacency list vs matrix · Graph coding exercises.
8:30–9:30
🍽️ Dinner + Wind down
10:00 PM
🛌 Sleep
09
Thursday — April 2
Day 9 · NLP Unit 4 + Big Data Start
NLPBig DataDSA
▼
6:00 AM
Wake up · Breakfast
7:00–9:30
NLP — Unit 4: Semantic Analysis
Semantic analysis · Lexical semantics · Lexeme, polysemy, homonymy, synonymy, hyponymy · WordNet · WSD + Lesk algorithm. QB U4 Long Q1–Q7.
9:30–10:00
☕ Break
10:00–12:00
NLP — Unit 4: Pragmatics + Discourse + Co-reference
Pragmatics · Discourse analysis · Reference resolution · Anaphora, cataphora, co-reference constraints. QB U4 Long Q8–Q10.
12:00–1:30
🍽️ Lunch
1:30–4:00
Big Data — Unit 1: Foundations
Big Data definition + 5Vs · Big Data Ecosystem (components) · Challenges in Big Data programming · Batch vs Stream processing · Cloud-based Big Data. QB U1 Q1–Q5.
4:00–4:30
☕ Break
4:30–6:30
Big Data — Unit 1: Databricks + HDFS + Hadoop vs Spark
Databricks significance & architecture · Delta Lake role · Distributed computing importance · Hadoop vs Spark comparison · HDFS + cluster computing. QB U1 Q6–Q12.
6:30–7:00
🚶 Break
7:00–8:30
DSA — 20–22: Recursion + rBST
Recursion fundamentals · Recursive BST operations · rBST coding exercises.
8:30–9:30
🍽️ Dinner + Wind down
10:00 PM
🛌 Sleep
10
Friday — April 3
Day 10 · Big Data Units 2 & 3
Big DataDSA
▼
6:00 AM
Wake up · Breakfast
7:00–9:30
Big Data — Unit 2: PySpark Core
PySpark architecture (Driver, Cluster Manager, Executors) · RDD: definition, features · Transformations vs Actions · RDD vs DataFrame. QB U2 Q1–Q4.
9:30–10:00
☕ Break
10:00–12:30
Big Data — Unit 2: Catalyst, Dask, MLlib, UDFs
Catalyst Optimizer components · PySpark SQL & DataFrame ops · Dask vs Pandas · Dask Delayed API · MLlib · PySpark UDFs · File formats (CSV, JSON, Parquet, ORC, Avro). QB U2 Q5–Q12.
12:30–1:30
🍽️ Lunch
1:30–4:00
Big Data — Unit 3: Scala
Scala history & design goals · OOP + FP in Scala · var vs val · Data types · Conditionals · Pattern matching · Loops · Code blocks · Recursion · Higher-order functions. QB U3 Q1–Q12.
4:00–4:30
☕ Break
4:30–6:30
Big Data — Scala Write-out Practice
Write answers for Scala design goals, Java vs Scala comparison, pattern matching, higher-order functions. Write code snippets from memory.
6:30–7:00
🚶 Break
7:00–8:30
DSA — 23–25: Basic Sorts
Bubble, Selection, Insertion sort · Time complexities · Coding exercises · LeetCode problems.
8:30–9:30
🍽️ Dinner + Wind down
10:00 PM
🛌 Sleep
11
Saturday — April 4
Day 11 · Big Data Unit 4 + All subjects revision
Big DataML
▼
6:00 AM
Wake up · Breakfast
7:00–9:30
Big Data — Unit 4: Kafka
Kafka architecture · Brokers, topics, partitions · Producers (batching, acks, delivery guarantees) · Consumers · Kafka Connect (Source & Sink). QB U4 Q1–Q6.
9:30–10:00
☕ Break
10:00–12:30
Big Data — Unit 4: PostgreSQL
PostgreSQL features & architecture (Postmaster, Shared Buffers, WAL) · Normalization (1NF, 2NF, 3NF) · CRUD queries · JOINs · Constraints · Transactions + ACID. QB U4 Q7–Q13.
12:30–1:30
🍽️ Lunch
1:30–4:00
ML — Revision Sprint (all 4 units)
Flash through all ML QB answers. Mark weak areas. Re-read answers for weak topics. Focus: RL, PCA, DBSCAN, SVM.
4:00–4:30
☕ Break
4:30–6:30
ML — Timed Mock (2nd round)
Write 10 answers timed (2 hours). Pick different questions than before. Focus on long answers.
6:30–7:00
🚶 Break
7:00–8:30
DSA — 26–28: Merge Sort
Merge sort algorithm, divide & conquer · O(n log n) complexity · Coding + LeetCode.
8:30–9:30
🍽️ Dinner + Wind down
10:00 PM
🛌 Sleep
12
Sunday — April 5
Day 12 · ML Final Revision + DIP Revision
MLDIP
▼
6:00 AM
Wake up · Breakfast
7:00–10:00
ML — Final Polish: All 4 Units
Write answers for every question you haven't written yet. Tables: Lasso vs Ridge, Clustering methods comparison, RL vs Supervised vs Unsupervised.
10:00–10:30
☕ Break
10:30–12:30
ML — Short Questions Rapid Fire
All short/definition questions from ML QB. 2-line answers. Fast.
12:30–1:30
🍽️ Lunch
1:30–4:00
DIP — Full Revision All 4 Units
Scan all QB. Write answers for CNN architecture, GLCM, watershed, JPEG compression, Huffman coding (redo the exercise). Mark weak spots.
4:00–4:30
☕ Break
4:30–6:30
DIP — Mock Test (timed)
Write 8 DIP answers timed. Check. Fix gaps.
6:30–7:00
🚶 Break
7:00–8:30
DSA — 29–30: Quick Sort
Quick sort, pivot selection, partitioning · Average O(n log n), worst O(n²) · Coding.
8:30–9:30
🍽️ Dinner + Wind down
10:00 PM
🛌 Sleep
13
Monday — April 6
Day 13 · NLP + Big Data Revision
NLPBig Data
▼
6:00 AM
Wake up · Breakfast
7:00–10:00
NLP — Full Revision (All 4 Units)
Write all long answers for weak topics. Focus: NLP pipeline diagram, HMM, CRF, WSD, WordNet, co-reference. Rapid-fire short questions.
10:00–10:30
☕ Break
10:30–12:30
NLP — Mock Test (timed)
Write 8 long answers timed. 2 from each unit. Self-check.
12:30–1:30
🍽️ Lunch
1:30–4:30
Big Data — Full Revision (All 4 Units)
5Vs, Kafka architecture, PySpark RDD vs DataFrame, Catalyst, Scala pattern matching, PostgreSQL ACID, Normalization examples. Write answers.
4:30–5:00
☕ Break
5:00–6:30
Big Data — Mock Test (timed)
Write 8 answers timed. Fix weak areas.
6:30–8:30
🍽️ Dinner + Light DSA reading (31–33: Tree Traversal)
Inorder, Preorder, Postorder traversal — concept only, no heavy coding. Rest if tired.
9:30 PM
🛌 Sleep — early rest before exam week
14
Tuesday — April 7
Day 14 · ML Final 48-hr Prep
ML
▼
6:00 AM
Wake up · Breakfast
7:00–9:30
ML — HIGH-YIELD Questions Only
From each unit, pick the 3–4 most likely exam questions. Write model answers. Diagrams: RL loop, SVM hyperplane, K-Means convergence, PCA steps.
9:30–10:00
☕ Break
10:00–12:30
ML — Comparison Tables Mastery
Supervised vs Unsupervised vs RL · Lasso vs Ridge vs ElasticNet · KMeans vs DBSCAN vs Hierarchical · PCA vs t-SNE. Write from memory.
12:30–1:30
🍽️ Lunch
1:30–4:00
ML — Final Mock (Full 2-hr exam sim)
Simulate the full exam. Pick 10 questions, write full answers in 2 hours. Use no notes.
4:00–5:00
☕ Long break · Decompress
5:00–7:00
ML — Fix last gaps from mock
Only revisit answers you struggled with. Don't try to learn new things now.
7:00–8:30
🍽️ Dinner + light walk
8:30–9:30
ML — Light read: key definitions only
Read your written answers once. Don't write more. Confidence building only.
10:00 PM
🛌 Sleep — ML exam tomorrow!
15
Wednesday — April 8
Day 15 · ML Eve — Light Revision + DIP Prep
MLDIP
▼
6:00 AM
Wake up · Good breakfast
7:00–10:00
ML — Final Light Revision (read-only)
Read all your written answers. No new writing. Skim comparison tables. Relax into what you know.
10:00–11:00
☕ Break · Prepare stationery for tomorrow
11:00–1:30
DIP — Focused Revision (top topics)
Huffman coding, JPEG, CNN architecture, Watershed, Thresholding types, GLCM Haralick features. Write model answers.
1:30–2:30
🍽️ Lunch + Rest
2:30–5:00
DIP — Short questions rapid fire
All short/definition questions from all 4 DIP units. 2-line answers. Fast.
5:00–6:00
☕ Break · Walk · Decompress
6:00–7:30
ML — Very last scan (30 mins each: U1+U2 / U3+U4)
Just read headings, formulas, key phrases. No stress.
7:30–8:30
🍽️ Dinner · Light conversation · No heavy studying
9:00 PM
🛌 Early sleep — Exam day tomorrow!
E1
Thursday — April 9
🔴 EXAM DAY · Machine Learning · 11:00 AM – 1:00 PM
EXAMDIP
▼
6:00 AM
Wake up · Good breakfast · Pack stationery
7:00–9:30
ML — Final read-through only
Read your own written answers calmly. No new content. Focus on formulas, comparison tables, definitions.
9:30–10:00
Freshen up · Get ready to leave
10:10 AM
🚗 Leave for college (25 min travel)
11:00–1:00
✏️ MACHINE LEARNING EXAM
Read all questions first. Attempt high-confidence answers first. Manage time: ~12 min per long answer.
1:00–1:25
🚗 Return home
1:30–3:00
🍽️ Lunch + Rest. DO NOT discuss the exam.
3:00–6:00
DIP — Intensive Revision (all 4 units)
Write answers for CNN, GLCM, compression techniques, thresholding. Diagrams. Priority: high-yield answers.
6:00–6:30
☕ Break
6:30–9:00
DIP — Mock test + fix gaps
Full 2-hr timed mock. Grade. Fix weak spots.
9:00–9:30
🍽️ Dinner
10:00 PM
🛌 Sleep
16
Friday — April 10
Day 16 · DIP Final Eve
DIP
▼
6:00 AM
Wake up · Breakfast
7:00–10:00
DIP — Read-only Final Revision
Read all written answers. Visualize diagrams (CNN, Huffman tree, JPEG pipeline). Relax into what you know.
10:00–11:00
☕ Break
11:00–1:30
DIP — Short Q rapid fire + last weak answers
All short definitions from all 4 units. Write last few long answers you haven't done yet.
1:30–3:00
🍽️ Lunch + Rest
3:00–5:30
NLP — Keep-warm Revision
Scan all NLP units. Write answers for HMM, CRF, WSD, pragmatics quickly. Keep NLP fresh in memory.
5:30–6:00
☕ Walk + Decompress
6:00–7:30
DIP — Final scan: formulas, key terms
7:30–8:30
🍽️ Dinner
9:00 PM
🛌 Early sleep
E2
Saturday — April 11
🔴 EXAM DAY · Deep Learning (DIP) · 11:00 AM – 1:00 PM
EXAMNLP
▼
6:00 AM
Wake up · Good breakfast · Stationery packed
7:00–9:30
DIP — Final calm read-through
Read your notes calmly. No new content. Visualize CNN diagram. Skim Huffman worked example.
9:30–10:00
Freshen up · Leave prep
10:10 AM
🚗 Leave for college
11:00–1:00
✏️ DEEP LEARNING / DIP EXAM
1:00–1:30
🚗 Return home
1:30–3:00
🍽️ Lunch + Rest
3:00–6:30
NLP — Intensive Revision (All 4 Units)
Write answers for all weak NLP questions. NLP pipeline, HMM, CRF, WSD, Lesk, co-reference. Diagrams.
6:30–7:00
☕ Break
7:00–9:00
NLP — Mock Test (timed)
Full 2-hr mock. Grade. Fix.
9:00–9:30
🍽️ Dinner
10:00 PM
🛌 Sleep
17
Sunday — April 12
Day 17 · NLP Final Eve
NLPBig Data
▼
6:00 AM
Wake up · Breakfast
7:00–10:00
NLP — Final Read-Only Revision
Read all written NLP answers calmly. Focus on diagrams: NLP pipeline, HMM, CFG derivation tree.
10:00–11:00
☕ Break
11:00–1:30
NLP — Short Q rapid fire + final weak answers
1:30–3:00
🍽️ Lunch + Rest
3:00–5:30
Big Data — Keep-warm Revision
Scan all BD units. Write: Kafka diagram, 5Vs, PySpark RDD features, Scala pattern matching, PostgreSQL ACID. Keep it fresh.
5:30–6:00
☕ Walk + relax
6:00–7:30
NLP — Very last scan: key terms, definitions
7:30–8:30
🍽️ Dinner
9:00 PM
🛌 Early sleep — NLP tomorrow!
E3
Monday — April 13
🔴 EXAM DAY · NLP · 11:00 AM – 1:00 PM
EXAMBig Data
▼
6:00 AM
Wake up · Breakfast · Stationery packed
7:00–9:30
NLP — Final calm read-through
Read notes once. No new writing. Relax.
9:30–10:00
Freshen up · Leave prep
10:10 AM
🚗 Leave for college
11:00–1:00
✏️ NLP EXAM
1:00–1:30
🚗 Return home
1:30–3:00
🍽️ Lunch + Rest
3:00–6:30
Big Data — Intensive Final Revision
Write answers for Kafka architecture, PySpark, Scala features, Delta Lake, PostgreSQL transactions. All comparison tables. Diagrams.
6:30–7:00
☕ Break
7:00–9:00
Big Data — Final Mock (timed)
Write 8–10 BD answers. 2 hours. No notes.
9:00–9:30
🍽️ Dinner
10:00 PM
🛌 Sleep
18
Tuesday — April 14
Day 18 · Big Data Final Eve
Big Data
▼
6:00 AM
Wake up · Breakfast
7:00–10:00
Big Data — Read-only Final Revision
Read all written answers. Skim Kafka diagram, Databricks architecture, PySpark workflow, Scala examples, PostgreSQL JOIN queries.
10:00–11:00
☕ Break
11:00–1:30
Big Data — Short Q rapid fire
All short/definition questions from all 4 units. Write 2-line answers. Fast. Also SQL query practice.
1:30–3:00
🍽️ Lunch + Rest
3:00–5:00
Big Data — Last weak answers
Write any remaining answers you haven't completed. Especially: Dask Delayed API, PySpark MLlib, WAL.
5:00–5:30
☕ Walk · Decompress
5:30–7:30
Big Data — Very last scan
Skim headings, formulas, code snippets. Light. No stress.
7:30–8:30
🍽️ Dinner
9:00 PM
🛌 Early sleep — Last exam tomorrow!
E4
Wednesday — April 15
🔴 FINAL EXAM · Big Data · 11:00 AM – 1:00 PM
EXAM🏆 DONE
▼
6:00 AM
Wake up · Great breakfast · Final prep
7:00–9:30
Big Data — Final calm read-through
Read notes once. Visualize: Kafka architecture, Databricks layers, PySpark DAG, Scala code. Stay calm.
9:30–10:00
Freshen up · Leave prep
10:10 AM
🚗 Leave for college
11:00–1:00
✏️ BIG DATA EXAM — THE FINAL BOSS 🎯
Read all questions first. Attempt confident answers. Manage time. You've got this.
1:00 PM+
🎉 ALL EXAMS DONE! Rest, celebrate, then resume DSA from where you left off.