05_Session_Guides

Session Guides (all sessions)

 Before every class: watch the assigned 18.065 lecture (links below), read the book section, and by D-1 24:00 (midnight before each class) submit on the LMS — Muddiest Point + a scan of the pset solved by hand + a short note on how AI helped.

Special sessions — 9/2 Orientation & diagnostic + slot assignment · 9/7 Model lesson (Lec 1) · 10/21 Midterm · 12/16 Final · 12/21 Buffer / review.

Video links — all presentation sessions

OCW = MIT 18.065 lecture page (video + notes). K-MOOC = 부산대 course page (log in / enroll; watch the noted WEEK·L parts).

#	Date	Lec	Topic	Book	OCW video	K-MOOC video
M	9/7 Mon	1	The Column Space of A Contains All Vectors Ax	I.1–I.3	Lec 1	WEEK1 · L1–9
01	9/9 Wed	2	Multiplying and Factoring Matrices	I.2, I.4	Lec 2	WEEK1 · L4,5,10
02	9/14 Mon	3	Orthonormal Columns in Q (QᵀQ=I)	I.5	Lec 3	WEEK2 · L1,2,3,4,5
03	9/16 Wed	4	Eigenvalues and Eigenvectors	I.6	Lec 4	WEEK2 · L6,7,8
04	9/21 Mon	5	Positive Definite & Semidefinite	I.7	Lec 5	WEEK2 · L9,10
05	9/23 Wed	6	Singular Value Decomposition (SVD)	I.8	Lec 6	WEEK3 · L1,2,3
06	9/30 Wed	7	Eckart–Young: Closest Rank-k	I.9	Lec 7	WEEK3 · L4,5
07	10/7 Wed	8	Norms of Vectors and Matrices	I.11	Lec 8	WEEK3 · L8,9
08	10/12 Mon	9	Four Ways to Solve Least Squares	II.2	Lec 9	WEEK4 · L2,3,4,5
09	10/14 Wed	10	Survey of Difficulties with Ax=b	II.2	Lec 10	WEEK3
10	10/19 Mon	11	Minimizing ‖x‖ Subject to Ax=b	II.2, III.4	Lec 11	WEEK3 · L6,7
11	10/26 Mon	20	Definitions and Inequalities (Probability)	V.1, V.3	Lec 20	WEEK7
12	10/28 Wed	13	Randomized Matrix Multiplication	II.4	Lec 13	WEEK4 · L6,7,8,9,10
13	11/2 Mon	14	Low Rank Changes in A and Its Inverse	III.1	Lec 14	WEEK3
14	11/4 Wed	21	Minimizing a Function Step by Step	VI.1	Lec 21	WEEK9 · L1,2,3,4,5,6
15	11/9 Mon	22	Gradient Descent	VI.4	Lec 22	WEEK10 · L1,2,3,4,5
16	11/11 Wed	23	Accelerating Gradient Descent (Momentum)	VI.4	Lec 23	WEEK10 · L1,2,3,4,5
17	11/16 Mon	25	Stochastic Gradient Descent (SGD)	VI.5	Lec 25	WEEK10 · L6,7
18	11/18 Wed	26	Structure of Neural Nets	VII.1	Lec 26	WEEK11 · L1,2,3,4
19	11/23 Mon	27	Backpropagation	VII.2	Lec 27	WEEK12 · L1,2,3,4,5,6
20	11/25 Wed	31	Circulant Matrices: Fourier Matrix	IV.1–2	Lec 31	WEEK5 · L1,2,3,4,5,6,7,8,9,10
21	11/30 Mon	32	ImageNet CNN; Convolution Rule	IV.2	Lec 32	WEEK11 · L5,6,7,8,9,10
22	12/2 Wed	33	Neural Nets and the Learning Function	VII.1, IV.10	Lec 33	WEEK6
23	12/7 Mon	34	Distance Matrices, Procrustes	IV.9–10	Lec 34	WEEK6 · L5,6
24	12/9 Wed	35	Finding Clusters in Graphs	IV.6–7	Lec 35	WEEK6 · L1,2,3,4
25	12/14 Mon	30	Completing a Rank-One Matrix, Circulants	IV.8, IV.2	Lec 30	WEEK6

Model lesson · 9/7 Mon · Lec 1 — The Column Space of A Contains All Vectors Ax

W2 · Book I.1–I.3 (번역서 1.1–1.3) · Difficulty · Taught by the instructor (model lesson) · No presenter

Before class - Watch 18.065 Lecture 1 (OCW / local 1080p) - Read book I.1–I.3 / 번역서 1.1–1.3; K-MOOC (Korean) WEEK1 - Problem set (chapter I.1–I.3): MIT 18.065 Problem Sets (PDF) - Nothing to submit yet — per-session submissions and slot presentations begin from Slot 01 (9/9).

Instructor — in class: model the session template — a short explanation of a column-space pset problem (no AI), one worked example, one application — release/confirm the pset pool (the slot assignment was decided 9/2).

Slot 01 · 9/9 Wed · Lec 2 — Multiplying and Factoring Matrices

W2 · Book I.2, I.4 (번역서 1.2, 1.4) · Difficulty · solo · Presenter: 김연경

Before class - Watch 18.065 Lecture 2 (OCW / local 1080p) - Read book I.2, I.4 / 번역서 1.2, 1.4; K-MOOC (Korean) same topic - Problem set (chapter I.2, I.4): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 01 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 9/8 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 02 · 9/14 Mon · Lec 3 — Orthonormal Columns in Q (QᵀQ=I)

W3 · Book I.5 (번역서 1.5) · Difficulty · solo · Presenter: 박시현

Before class - Watch 18.065 Lecture 3 (OCW / local 1080p) - Read book I.5 / 번역서 1.5; K-MOOC (Korean) same topic - Problem set (chapter I.5): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 02 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 9/13 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 03 · 9/16 Wed · Lec 4 — Eigenvalues and Eigenvectors

W3 · Book I.6 (번역서 1.6) · Difficulty · solo · Presenter: 여채윤

Before class - Watch 18.065 Lecture 4 (OCW / local 1080p) - Read book I.6 / 번역서 1.6; K-MOOC (Korean) same topic - Problem set (chapter I.6): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 03 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 9/15 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 04 · 9/21 Mon · Lec 5 — Positive Definite & Semidefinite

W4 · Book I.7 (번역서 1.7) · Difficulty · solo · Presenter: ____

Before class - Watch 18.065 Lecture 5 (OCW / local 1080p) - Read book I.7 / 번역서 1.7; K-MOOC (Korean) same topic - Problem set (chapter I.7): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 04 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 9/20 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 05 · 9/23 Wed · Lec 6 — Singular Value Decomposition (SVD)

W4 · Book I.8 (번역서 1.8) · Difficulty · solo · Presenter: ____

Before class - Watch 18.065 Lecture 6 (OCW / local 1080p) - Read book I.8 / 번역서 1.8; K-MOOC (Korean) same topic - Problem set (chapter I.8): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 05 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 9/22 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 06 · 9/30 Wed · Lec 7 — Eckart–Young: Closest Rank-k

W5 · Book I.9 (번역서 1.9) · Difficulty · solo · Presenter: ____

Before class - Watch 18.065 Lecture 7 (OCW / local 1080p) - Read book I.9 / 번역서 1.9; K-MOOC (Korean) same topic - Problem set (chapter I.9): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 06 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 9/29 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 07 · 10/7 Wed · Lec 8 — Norms of Vectors and Matrices

W6 · Book I.11 (번역서 1.11) · Difficulty · solo · Presenter: ____

Before class - Watch 18.065 Lecture 8 (OCW / local 1080p) - Read book I.11 / 번역서 1.11; K-MOOC (Korean) same topic - Problem set (chapter I.11): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 07 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 10/6 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 08 · 10/12 Mon · Lec 9 — Four Ways to Solve Least Squares

W7 · Book II.2 (번역서 2.2) · Difficulty · solo · Presenter: ____

Before class - Watch 18.065 Lecture 9 (OCW / local 1080p) - Read book II.2 / 번역서 2.2; K-MOOC (Korean) same topic - Problem set (chapter II.2): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 08 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 10/11 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 09 · 10/14 Wed · Lec 10 — Survey of Difficulties with Ax=b

W7 · Book II.2 (번역서 2.2) · Difficulty · solo · Presenter: ____

Before class - Watch 18.065 Lecture 10 (OCW / local 1080p) - Read book II.2 / 번역서 2.2; K-MOOC (Korean) same topic - Problem set (chapter II.2): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 09 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 10/13 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 10 · 10/19 Mon · Lec 11 — Minimizing ‖x‖ Subject to Ax=b

W8 · Book II.2, III.4 (번역서 2.2, 3.4) · Difficulty · solo · Presenter: ____

Before class - Watch 18.065 Lecture 11 (OCW / local 1080p) - Read book II.2, III.4 / 번역서 2.2, 3.4; K-MOOC (Korean) same topic - Problem set (chapter II.2, III.4): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 10 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 10/18 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 11 · 10/26 Mon · Lec 20 — Definitions and Inequalities (Probability)

W9 · Book V.1, V.3 (번역서 5.1, 5.3) · Difficulty · solo · Presenter: ____

Before class - Watch 18.065 Lecture 20 (OCW / local 1080p) - Read book V.1, V.3 / 번역서 5.1, 5.3; K-MOOC (Korean) same topic - Problem set (chapter V.1, V.3): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 11 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 10/25 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 12 · 10/28 Wed · Lec 13 — Randomized Matrix Multiplication

W9 · Book II.4 (번역서 2.4) · Difficulty · solo · Presenter: ____

Before class - Watch 18.065 Lecture 13 (OCW / local 1080p) - Read book II.4 / 번역서 2.4; K-MOOC (Korean) same topic - Problem set (chapter II.4): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 12 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 10/27 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 13 · 11/2 Mon · Lec 14 — Low Rank Changes in A and Its Inverse

W10 · Book III.1 (번역서 3.1) · Difficulty · solo · Presenter: ____

Before class - Watch 18.065 Lecture 14 (OCW / local 1080p) - Read book III.1 / 번역서 3.1; K-MOOC (Korean) same topic - Problem set (chapter III.1): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 13 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 11/1 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 14 · 11/4 Wed · Lec 21 — Minimizing a Function Step by Step

W10 · Book VI.1 (번역서 6.1) · Difficulty · solo · Presenter: ____

Before class - Watch 18.065 Lecture 21 (OCW / local 1080p) - Read book VI.1 / 번역서 6.1; K-MOOC (Korean) same topic - Problem set (chapter VI.1): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 14 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 11/3 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 15 · 11/9 Mon · Lec 22 — Gradient Descent

W11 · Book VI.4 (번역서 6.4) · Difficulty · solo · Presenter: ____

Before class - Watch 18.065 Lecture 22 (OCW / local 1080p) - Read book VI.4 / 번역서 6.4; K-MOOC (Korean) same topic - Problem set (chapter VI.4): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 15 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 11/8 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 16 · 11/11 Wed · Lec 23 — Accelerating Gradient Descent (Momentum)

W11 · Book VI.4 (번역서 6.4) · Difficulty · solo · Presenter: ____

Before class - Watch 18.065 Lecture 23 (OCW / local 1080p) - Read book VI.4 / 번역서 6.4; K-MOOC (Korean) same topic - Problem set (chapter VI.4): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 16 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 11/10 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 17 · 11/16 Mon · Lec 25 — Stochastic Gradient Descent (SGD)

W12 · Book VI.5 (번역서 6.5) · Difficulty · solo · Presenter: ____

Before class - Watch 18.065 Lecture 25 (OCW / local 1080p) - Read book VI.5 / 번역서 6.5; K-MOOC (Korean) same topic - Problem set (chapter VI.5): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 17 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 11/15 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 18 · 11/18 Wed · Lec 26 — Structure of Neural Nets

W12 · Book VII.1 (번역서 7.1) · Difficulty · solo · Presenter: ____

Before class - Watch 18.065 Lecture 26 (OCW / local 1080p) - Read book VII.1 / 번역서 7.1; K-MOOC (Korean) same topic - Problem set (chapter VII.1): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 18 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 11/17 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 19 · 11/23 Mon · Lec 27 — Backpropagation

W13 · Book VII.2 (번역서 7.2) · Difficulty · solo · Presenter: ____

Before class - Watch 18.065 Lecture 27 (OCW / local 1080p) - Read book VII.2 / 번역서 7.2; K-MOOC (Korean) same topic - Problem set (chapter VII.2): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 19 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 11/22 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 20 · 11/25 Wed · Lec 31 — Circulant Matrices: Fourier Matrix

W13 · Book IV.1–2 (번역서 4.1–2) · Difficulty · solo · Presenter: ____

Before class - Watch 18.065 Lecture 31 (OCW / local 1080p) - Read book IV.1–2 / 번역서 4.1–2; K-MOOC (Korean) same topic - Problem set (chapter IV.1–2): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 20 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 11/24 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 21 · 11/30 Mon · Lec 32 — ImageNet CNN; Convolution Rule

W14 · Book IV.2 (번역서 4.2) · Difficulty · solo · Presenter: ____

Before class - Watch 18.065 Lecture 32 (OCW / local 1080p) - Read book IV.2 / 번역서 4.2; K-MOOC (Korean) same topic - Problem set (chapter IV.2): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 21 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 11/29 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 22 · 12/2 Wed · Lec 33 — Neural Nets and the Learning Function

W14 · Book VII.1, IV.10 (번역서 7.1, 4.10) · Difficulty · solo · Presenter: ____

Before class - Watch 18.065 Lecture 33 (OCW / local 1080p) - Read book VII.1, IV.10 / 번역서 7.1, 4.10; K-MOOC (Korean) same topic - Problem set (chapter VII.1, IV.10): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 22 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 12/1 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 23 · 12/7 Mon · Lec 34 — Distance Matrices, Procrustes

W15 · Book IV.9–10 (번역서 4.9–10) · Difficulty · solo · Presenter: ____

Before class - Watch 18.065 Lecture 34 (OCW / local 1080p) - Read book IV.9–10 / 번역서 4.9–10; K-MOOC (Korean) same topic - Problem set (chapter IV.9–10): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 23 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 12/6 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 24 · 12/9 Wed · Lec 35 — Finding Clusters in Graphs

W15 · Book IV.6–7 (번역서 4.6–7) · Difficulty · solo · Presenter: ____

Before class - Watch 18.065 Lecture 35 (OCW / local 1080p) - Read book IV.6–7 / 번역서 4.6–7; K-MOOC (Korean) same topic - Problem set (chapter IV.6–7): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 24 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 12/8 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

Slot 25 · 12/14 Mon · Lec 30 — Completing a Rank-One Matrix, Circulants

W16 · Book IV.8, IV.2 (번역서 4.8, 4.2) · Difficulty · solo · Presenter: ____

Before class - Watch 18.065 Lecture 30 (OCW / local 1080p) - Read book IV.8, IV.2 / 번역서 4.8, 4.2; K-MOOC (Korean) same topic - Problem set (chapter IV.8, IV.2): MIT 18.065 Problem Sets (PDF) - Pre-solve pool items for Slot 25 — these are in the exam scope - Submit Muddiest Point + pset scan + AI note by 12/13 24:00 (midnight)

Presenter — in class: a summary of the topic, an explanation of at least one pset problem, one original example, one application, answers to the top-3 questions.

세션 가이드 (전체 세션)

 매 수업 전: 배정된 18.065 강의 시청(아래 링크), 교재 절 읽기, 그리고 D-1 24:00(수업 전날 자정)까지 LMS에 제출 — Muddiest Point + pset 손풀이 스캔 + AI 활용 서술.

특별 세션 — 9/2 오리엔테이션·진단 + 순번 결정 · 9/7 모범수업(Lec 1) · 10/21 중간고사 · 12/16 기말고사 · 12/21 버퍼/복습.

영상 링크 — 발표 세션 전체

OCW = MIT 18.065 강의 페이지(영상+노트). K-MOOC = 부산대 코스 페이지(로그인·수강신청 후 표기된 WEEK·L 시청).

#	날짜	Lec	주제	교재	OCW 영상	K-MOOC 영상
M	9/7 Mon	1	열공간: A의 모든 Ax를 담는 공간	I.1–I.3	Lec 1	WEEK1 · L1–9
01	9/9 Wed	2	Multiplying and Factoring Matrices	I.2, I.4	Lec 2	WEEK1 · L4,5,10
02	9/14 Mon	3	Orthonormal Columns in Q (QᵀQ=I)	I.5	Lec 3	WEEK2 · L1,2,3,4,5
03	9/16 Wed	4	Eigenvalues and Eigenvectors	I.6	Lec 4	WEEK2 · L6,7,8
04	9/21 Mon	5	Positive Definite & Semidefinite	I.7	Lec 5	WEEK2 · L9,10
05	9/23 Wed	6	Singular Value Decomposition (SVD)	I.8	Lec 6	WEEK3 · L1,2,3
06	9/30 Wed	7	Eckart–Young: Closest Rank-k	I.9	Lec 7	WEEK3 · L4,5
07	10/7 Wed	8	Norms of Vectors and Matrices	I.11	Lec 8	WEEK3 · L8,9
08	10/12 Mon	9	Four Ways to Solve Least Squares	II.2	Lec 9	WEEK4 · L2,3,4,5
09	10/14 Wed	10	Survey of Difficulties with Ax=b	II.2	Lec 10	WEEK3
10	10/19 Mon	11	Minimizing ‖x‖ Subject to Ax=b	II.2, III.4	Lec 11	WEEK3 · L6,7
11	10/26 Mon	20	Definitions and Inequalities (Probability)	V.1, V.3	Lec 20	WEEK7
12	10/28 Wed	13	Randomized Matrix Multiplication	II.4	Lec 13	WEEK4 · L6,7,8,9,10
13	11/2 Mon	14	Low Rank Changes in A and Its Inverse	III.1	Lec 14	WEEK3
14	11/4 Wed	21	Minimizing a Function Step by Step	VI.1	Lec 21	WEEK9 · L1,2,3,4,5,6
15	11/9 Mon	22	Gradient Descent	VI.4	Lec 22	WEEK10 · L1,2,3,4,5
16	11/11 Wed	23	Accelerating Gradient Descent (Momentum)	VI.4	Lec 23	WEEK10 · L1,2,3,4,5
17	11/16 Mon	25	Stochastic Gradient Descent (SGD)	VI.5	Lec 25	WEEK10 · L6,7
18	11/18 Wed	26	Structure of Neural Nets	VII.1	Lec 26	WEEK11 · L1,2,3,4
19	11/23 Mon	27	Backpropagation	VII.2	Lec 27	WEEK12 · L1,2,3,4,5,6
20	11/25 Wed	31	Circulant Matrices: Fourier Matrix	IV.1–2	Lec 31	WEEK5 · L1,2,3,4,5,6,7,8,9,10
21	11/30 Mon	32	ImageNet CNN; Convolution Rule	IV.2	Lec 32	WEEK11 · L5,6,7,8,9,10
22	12/2 Wed	33	Neural Nets and the Learning Function	VII.1, IV.10	Lec 33	WEEK6
23	12/7 Mon	34	Distance Matrices, Procrustes	IV.9–10	Lec 34	WEEK6 · L5,6
24	12/9 Wed	35	Finding Clusters in Graphs	IV.6–7	Lec 35	WEEK6 · L1,2,3,4
25	12/14 Mon	30	Completing a Rank-One Matrix, Circulants	IV.8, IV.2	Lec 30	WEEK6

모범수업 · 9/7 Mon · Lec 1 — 열공간: A의 모든 Ax를 담는 공간

W2 · 교재 I.1–I.3 (번역서 1.1–1.3) · 난이도 · 교수 시연(모범수업) · 발표자 없음

수업 전 - 18.065 Lecture 1 시청 (OCW / 로컬 1080p) - 교재 I.1–I.3 / 번역서 1.1–1.3 읽기; K-MOOC(한국어) WEEK1 - 문제집(원서 I.1–I.3): MIT 18.065 Problem Sets (PDF) - 아직 제출물 없음 — 매 세션 제출·슬롯 발표는 슬롯 01(9/9)부터 시작.

교수 — 수업 중: 세션 템플릿 시연 — 열공간 pset 문제 설명(AI 없이), 예제 1개, 응용 1개 — pset 풀 공개(순번 결정은 9/2에 완료).

슬롯 01 · 9/9 Wed · Lec 2 — 곱셈·인수분해

W2 · 원서 I.2, I.4(번역서 1.2, 1.4) · 난이도 · 1인 · 발표자: ____

수업 전 - 18.065 Lecture 2 시청(OCW / 로컬 1080p) - 원서 I.2, I.4 / 번역서 1.2, 1.4 읽기; K-MOOC 같은 주제 - 문제집(원서 I.2, I.4): MIT 18.065 Problem Sets (PDF) - 슬롯 01 pset 풀 문제 미리 풀기(시험 범위) - 9/8 24:00(전날 자정)까지 Muddiest Point + pset 스캔 + AI 활용 서술 제출