-
Projects & Research
+
Projects & Research
-
+
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod
tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim
veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea
diff --git a/src/components/resources/articlelist.tsx b/src/components/resources/articlelist.tsx
index ba853fe..e17e69f 100644
--- a/src/components/resources/articlelist.tsx
+++ b/src/components/resources/articlelist.tsx
@@ -12,7 +12,7 @@ interface ArticleListProps {
articles: Article[];
}
-const ArticleList: React.FC = ({ title, articles }) => (
+const ArticleList = ({ title, articles }: ArticleListProps) => (
{title}
diff --git a/src/components/resources/articles.tsx b/src/components/resources/articles.tsx
index 2977bc9..a4776b7 100644
--- a/src/components/resources/articles.tsx
+++ b/src/components/resources/articles.tsx
@@ -6,9 +6,10 @@ const categoryTitles: { [key: string]: string } = {
pytorch: "PyTorch Official Tutorials",
kaggle: "Kaggle Projects",
};
+
const Articles = () => {
return (
-
+
Articles
diff --git a/src/components/resources/external.tsx b/src/components/resources/external.tsx
index 55fed2f..3f0a8a2 100644
--- a/src/components/resources/external.tsx
+++ b/src/components/resources/external.tsx
@@ -2,12 +2,12 @@ import React from "react";
const External = () => {
return (
-
-
-
External Resources
-
+
+
-
+
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod
tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim
veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea
diff --git a/src/components/resources/notes.tsx b/src/components/resources/notes.tsx
index 4883694..d0ac33a 100644
--- a/src/components/resources/notes.tsx
+++ b/src/components/resources/notes.tsx
@@ -1,19 +1,21 @@
import React from "react";
import Link from "next/link";
-import notesData, { Note } from "../../data/notesData";
+import { notesData } from "@/data/notesData";
-const notes = () => {
+const Notes = () => {
return (
-
+
-
Lecture Notes
-
+
+ Lecture Notes
+
+
- {notesData.map((note: Note) => (
+ {notesData.map((note, index) => (
{
);
};
-export default notes;
+export default Notes;
diff --git a/src/components/resources/videos.tsx b/src/components/resources/videos.tsx
index 6e13380..84bcf96 100644
--- a/src/components/resources/videos.tsx
+++ b/src/components/resources/videos.tsx
@@ -9,7 +9,7 @@ type Video = {
const Videos = () => {
return (
-
+
Videos
diff --git a/src/data/articles.ts b/src/data/articles.ts
index 47af8ef..5919320 100644
--- a/src/data/articles.ts
+++ b/src/data/articles.ts
@@ -1,4 +1,6 @@
-export const articlesData = {
+import { Data } from "@/types/data";
+
+export const articlesData: Record
= {
pytorch: [
{ id: 1, title: "CIFAR10 Classifier", link: "#" },
{ id: 2, title: "MNIST", link: "#" },
diff --git a/src/data/courses.ts b/src/data/courses.ts
new file mode 100644
index 0000000..35340ef
--- /dev/null
+++ b/src/data/courses.ts
@@ -0,0 +1,139 @@
+import { Course } from "@/types/data";
+
+export const courses: Record = {
+ Beginner: [
+ {
+ header: "CS 105: Data Analysis Methods",
+ description:
+ "Introduces fundamental concepts and methods in data analysis and visualization essential to various data science tasks.",
+ books: [
+ "Introduction to the Practice of Statistics by Moore, McCabe, and Craig.",
+ "Data Science from Scratch by Joel Grus.",
+ ],
+ platforms: [
+ "LeetCode: Beginner data manipulation problems.",
+ "GeeksforGeeks: For data structure and algorithm fundamentals.",
+ ],
+ prerequisites: [
+ {
+ name: "CS 009B: Data-Oriented Introduction to Computing II (Python)",
+ indent: 0,
+ },
+ ],
+ },
+ {
+ header: "CS 170: Introduction to Artificial Intelligence",
+ description:
+ "Covers fundamental AI topics, including search algorithms, machine learning, reasoning, and knowledge representation.",
+ books: [
+ "Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig.",
+ "Deep Learning by Ian Goodfellow.",
+ ],
+ platforms: [
+ "CS50 AI: A project-based Harvard course.",
+ "AI Dungeon (fun problem-solving with AI applications).",
+ ],
+ prerequisites: [
+ { name: "CS 100: Software Construction", indent: 0 },
+ {
+ name: "Prerequisites for CS 100: CS 010C: Introduction to Data Structures and Algorithms",
+ indent: 1,
+ },
+ {
+ name: "Prerequisites for CS 010C: CS 010B: Introduction to Computer Science II",
+ indent: 2,
+ },
+ {
+ name: "Prerequisites for CS 010B: CS 010A: Introduction to Computer Science I",
+ indent: 2,
+ },
+ ],
+ },
+ {
+ header: "CS 171: Introduction to Machine Learning and Data Mining",
+ description:
+ "Introduces machine learning algorithms and data mining techniques, focusing on supervised and unsupervised learning methods.",
+ books: [
+ "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron.",
+ "Pattern Recognition and Machine Learning by Christopher Bishop.",
+ ],
+ platforms: [
+ "Kaggle: For dataset-based ML problems.",
+ "Machine Learning Mastery: Tutorials and practice datasets.",
+ ],
+ prerequisites: [
+ { name: "CS 170: Introduction to Artificial Intelligence", indent: 0 },
+ ],
+ },
+ {
+ header: "CS 172: Introduction to Information Retrieval",
+ description:
+ "Focuses on the principles and methods of information retrieval, including indexing, querying, and evaluating search engines.",
+ books: [
+ "Introduction to Information Retrieval by Christopher Manning.",
+ "Mining of Massive Datasets by Leskovec, Rajaraman, and Ullman.",
+ ],
+ platforms: [
+ "ElasticSearch Labs: Practice building search engines.",
+ "IR Datasets: For testing and evaluation.",
+ ],
+ prerequisites: [{ name: "CS 100: Software Construction", indent: 0 }],
+ },
+ {
+ header: "CS 173: Introduction to Natural Language Processing (NLP)",
+ description:
+ "Explores computational techniques for processing and understanding human language, covering syntax, semantics, and applications in NLP.",
+ books: [
+ "Speech and Language Processing by Daniel Jurafsky and James H. Martin.",
+ "Natural Language Processing with PyTorch by Delip Rao.",
+ ],
+ platforms: [
+ "Hugging Face: For hands-on NLP tasks with transformers.",
+ "Kaggle: NLP challenges (e.g., sentiment analysis, summarization).",
+ ],
+ prerequisites: [{ name: "CS 100: Software Construction", indent: 0 }],
+ },
+ ],
+ Intermediate: [
+ {
+ header: "CS 105: Data Analysis Methods",
+ description:
+ "Introduces fundamental concepts and methods in data analysis and visualization essential to various data science tasks.",
+ books: [
+ "Introduction to the Practice of Statistics by Moore, McCabe, and Craig.",
+ "Data Science from Scratch by Joel Grus.",
+ ],
+ platforms: [
+ "LeetCode: Beginner data manipulation problems.",
+ "GeeksforGeeks: For data structure and algorithm fundamentals.",
+ ],
+ prerequisites: [
+ {
+ name: "CS 009B: Data-Oriented Introduction to Computing II (Python)",
+ indent: 0,
+ },
+ ],
+ },
+ ],
+ Advanced: [
+ {
+ header: "CS 105: Data Analysis Methods",
+ description:
+ "Introduces fundamental concepts and methods in data analysis and visualization essential to various data science tasks.",
+ books: [
+ "Introduction to the Practice of Statistics by Moore, McCabe, and Craig.",
+ "Data Science from Scratch by Joel Grus.",
+ ],
+ platforms: [
+ "LeetCode: Beginner data manipulation problems.",
+ "GeeksforGeeks: For data structure and algorithm fundamentals.",
+ ],
+ prerequisites: [
+ {
+ name: "CS 009B: Data-Oriented Introduction to Computing II (Python)",
+ indent: 0,
+ },
+ ],
+ },
+ ],
+};
diff --git a/src/data/nav.ts b/src/data/nav.ts
index d26647b..aa9d229 100644
--- a/src/data/nav.ts
+++ b/src/data/nav.ts
@@ -1,4 +1,4 @@
-export const items = [
+export const ITEMS = [
{
name: "EDUCATION",
href: "/education",
diff --git a/src/data/news.ts b/src/data/news.ts
index e69de29..9972663 100644
--- a/src/data/news.ts
+++ b/src/data/news.ts
@@ -0,0 +1,26 @@
+import mock from "@/public/mock.webp";
+import { News } from "@/types/data";
+
+export const newsData: News[] = [
+ {
+ image: mock,
+ imageAlt: "error loading image",
+ refLink: "link",
+ title: "TITLE",
+ text: "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.",
+ },
+ {
+ image: mock,
+ imageAlt: "error loading image",
+ refLink: "link",
+ title: "TITLE",
+ text: "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.",
+ },
+ {
+ image: mock,
+ imageAlt: "error loading image",
+ refLink: "link",
+ title: "TITLE",
+ text: "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.",
+ },
+];
diff --git a/src/data/notesData.ts b/src/data/notesData.ts
index 3f511bc..9ad2543 100644
--- a/src/data/notesData.ts
+++ b/src/data/notesData.ts
@@ -1,10 +1,6 @@
-export type Note = {
- id: number;
- title: string;
- url: string;
-};
+import { Note } from "@/types/data";
-const notesData: Note[] = [
+export const notesData: Note[] = [
{
id: 1,
title: "Stanford CS229 Machine Learning Lecture Notes",
@@ -16,5 +12,3 @@ const notesData: Note[] = [
url: "www.mocklink.com",
},
];
-
-export default notesData;
diff --git a/src/types/data.ts b/src/types/data.ts
new file mode 100644
index 0000000..17b8844
--- /dev/null
+++ b/src/types/data.ts
@@ -0,0 +1,34 @@
+import { StaticImageData } from "next/image";
+
+export type News = {
+ image: StaticImageData;
+ imageAlt: string;
+ refLink: string;
+ title: string;
+ text: string;
+};
+
+export type Note = {
+ id: number;
+ title: string;
+ url: string;
+};
+
+export type Data = {
+ id: number;
+ title: string;
+ link: string;
+};
+
+type Prerequisite = {
+ name: string;
+ indent: number;
+};
+
+export interface Course {
+ header: string;
+ description: string;
+ books: string[];
+ platforms: string[];
+ prerequisites: Prerequisite[];
+}