<< /Annots [ 344 0 R 345 0 R 346 0 R ] /Contents 204 0 R /Group 347 0 R /MediaBox [ 0 0 612 792 ] /Parent 240 0 R /Resources 349 0 R /Type /Page >> Write a Review. I'm still not getting the correct centroids and cost value. 1. This class mostly dealt with concepts of probability. 1. CSE CSE 575 2 Documents; CSE 576 10 Documents; CSE 577 3 Documents; CSE 578 200 Documents; 11 Q&As; CSE 579 223 Documents; 7 Q&As; CSE 591 76 . Discover Jobs. Press J to jump to the feed. 0000007936 00000 n You signed in with another tab or window. J$(HA 2 V J8[603J21()00``|%1@f/ibm m3^@R cMPN d{ endstream endobj 45 0 obj <>>>/Lang(en-US)/Metadata 42 0 R/Outlines 38 0 R/Pages 39 0 R/Type/Catalog/ViewerPreferences<>>> endobj 46 0 obj <>/ExtGState<>/Font<>/ProcSet[/PDF/Text/ImageC]/Properties<>/XObject<>>>/Rotate 0/Tabs/W/TrimBox[0.0 0.0 612.0 792.0]/Type/Page>> endobj 47 0 obj <> endobj 48 0 obj <> endobj 49 0 obj <> endobj 50 0 obj [/ICCBased 66 0 R] endobj 51 0 obj <>stream 0000028980 00000 n LOOCV. 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Let me know if there is any change in this. For Employers. CSE 575 Statistical Machine Learning is a Computer Science and Engineering course at ASU. Please find the above code which I, Not getting the right centroids and cost value. :=eikZ] ;py e^@cAhM\\*#!3BL6J}XHs" :Nqjx@vUJB+]~cDD"G$7c:U.[d.g=fTeNiUR-RuwTW_aUy['@w\/"+D1E7Z#j@ dI{9q"r|;;|x[s|_ oryOic~a9 {5CJ k";;9jK#12[6"MB}x Access to all . Yes that would be very helpful as I am still not sure weather to pursue this or not. Numerical example on GMM, This notes cover the following topics: (569 Documents), CSE 230 - CSE/EEE230 KNN That really screwed me over and I ended up with a B-. Contains the Assignment solution for ASU course CSE 575(Statistical Machine Learning) {[ course.deptAcro ]} {[ course.courseNum ]}, REPORT OF STORAGE AND INDEXING TEST CASES USING MINI BASE.docx, lesson-plan-input-devices-docx-101107153009-phpapp-01.docx, CSE579_questions_solutions_practice_questions_spring23.pdf, Milestone4_Individaul Project Report (1).pdf. Kmeans, 5 pages CSE 511: Data Processing at Scale About this course Dat ab ase syst ems are u sed t o p ro vi d e co n ven i en t access t o d i sk- resi d en t d at a t h ro u g h ef f i ci en t q u ery p ro cessi n g , i n d exi n g st ru ct u res, co n cu rren cy co n t ro l , an d reco very. No description, website, or topics provided. 203 0 obj Assistant Professor of Computer Science Interests: Computer visualization and graphics, computer animation, software engineering Fitzelle Hall 231 607-436-3439 Don.Allison@oneonta.edu. This is a graduat, Campbell Biology (Jane B. Reece; Lisa A. Urry; Michael L. Cain; Steven A. Wasserman; Peter V. Minorsky), Civilization and its Discontents (Sigmund Freud), Biological Science (Freeman Scott; Quillin Kim; Allison Lizabeth), Brunner and Suddarth's Textbook of Medical-Surgical Nursing (Janice L. Hinkle; Kerry H. Cheever), Psychology (David G. Myers; C. Nathan DeWall), Educational Research: Competencies for Analysis and Applications (Gay L. R.; Mills Geoffrey E.; Airasian Peter W.), Principles of Environmental Science (William P. Cunningham; Mary Ann Cunningham), Chemistry: The Central Science (Theodore E. Brown; H. Eugene H LeMay; Bruce E. Bursten; Catherine Murphy; Patrick Woodward), The Methodology of the Social Sciences (Max Weber), Forecasting, Time Series, and Regression (Richard T. O'Connell; Anne B. Koehler), Business Law: Text and Cases (Kenneth W. Clarkson; Roger LeRoy Miller; Frank B. There were two big assignments which were high effort. CSE 575 - ASU - Statistical Machine Learning - Studocu Statistical Machine Learning (CSE 575) University Arizona State University Statistical Machine Learning Follow this course Documents (26) Messages Students (28) Lecture notes year Ratings Coursework year Ratings Summaries year Ratings Assignments Rating year Ratings Show 8 more documents You signed in with another tab or window. Salaries. endobj 3. Post a Job. 1 1 of 2 **Disclaimer** This syllabus is to be used as a guideline only. These notes covers the topic, Principle Component Analysis, 3 pages CSE 575: SML Improving Information Retrieval for Knowledge Extraction and Open Book Question Answering Pratyay Banerjee pbanerj6@asu.edu Kuntal Pal kkpal@asu.edu Aditya Narayanan anaray38@asu.edu Kunal Bagewadi kbagewad@asu.edu Prasanth Sukhapalli psukhapa@asu.edu Bhavani Balasubramanyam bbalasu6@asu.edu Abstract The complete version of this course can be found in ASU Online Master of Computer Science program on Coursera. Some the implementions from scratch in Python: This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. 0 contributors Users who have contributed to this file 0000028423 00000 n Jobs. Cross), Give Me Liberty! 199 0 obj Explore. Overfitting Gaussian Mixture model Are you sure you want to create this branch? Assignment 2: Implementation of KNN Classifier on MNIST data set. CSE 575 Projects 1) Distributed Large-Scale GeoVisual Similarity Search using Deep Learning (Ongoing) - Caffe, Python, NumPy . 0000005967 00000 n 201 0 obj Dear Prof. Xue, you da best. There's also a quiz almost every class and you get +1 point if you just take the quiz. The quizzes and exams were fairly simple. - I'd taken a linear algebra class in my undergrad and it really helped navigate the class. Given an input array of binary feature values for a single feature,f f, and an input array of binary class labels,y y, function that computesP(f=0|y=1). 35 pages This study contains all the question papers of the assignments that will be helpful for last minute revision and it covers the whole portion. Going through all of these may greatly help you with understanding important concepts, and, at least, preparing for the first midterm exam. CSE579 KRR Spring-A 2021 syllabus-Course Map, Copyright 2023 StudeerSnel B.V., Keizersgracht 424, 1016 GC Amsterdam, KVK: 56829787, BTW: NL852321363B01, #spring_a_2021_cse_579_knowledge_representation_and_reasoning, concerned with how knowledge can be represented in formal languages and, are key drivers of innovation in computer science, and they, biology, and the development of software agents. Compare Companies. To better understand the algorithm, I highly recommend you look into Stanford's CS229 course note on clustering. Salaries. stream Course Hero is not sponsored or endorsed by any college or university. << /Filter /FlateDecode /S 176 /O 223 /Length 172 >> Mr. Michael Aryee. ASU-Courses / CSE 340 / Projects / Project2 / project2.cc Go to file Go to file T; Go to line L; Copy path Copy permalink; trailer <<93D07F54718D4C4AA2546324D6BDE177>]/Prev 350468>> startxref 0 %%EOF 76 0 obj <>stream Go Devils! This page is available in other languages, Contracts between the State and employee unions, Statewide Learning Management System (SLMS), Civil Service Employees Association (CSEA), NYS Correctional Officers & Police Benevolent Association (NYSCOPBA), NYS Law Enforcement Officers' Union, Council 82, AFSCME, AFL-CIO (C82), Police Benevolent Association of NYS, Inc. (PBANYS), New York State Employee Discrimination Complaint Form, Equal Employment Opportunity in New York State Rights and Responsibilities A Handbook for Employees of New York State Agencies, CSEA - Administrative Services Unit (ASU), CSEA - Division of Military and Naval Affairs Unit (DMNA), CWA/GSEU - State University Graduate Student Negotiating Unit (GSNU), DC-37 - Rent Regulation Services Unit (RRSU), NYSPIA - State Police Investigators Unit (BCI), PBA - State Police Commissioned/Non-commissioned Officers (CO/NCO), PBA - State Police Troopers Unit (Troopers Unit), PBANYS - Agency Police Services Unit (APSU), PEF - Professional, Scientific and Technical Services Unit (PS&T), UUP - State University Professional Services Negotiating Unit (PSNU). GitHub Link . About ASU Established in Tempe in 1885, Arizona State University (ASU) has developed a new model . 44 33 CSE 575: Statistical Machine Learning (subject to change) General Course Information Instructor: Dr. Hanghang Tong O ce: BY 416 O ce Hours: T/Th 10:00-11:00am Email: hanghang.tong@asu.edu Meeting Times: T/Th 12:00pm{1:15pm Location: Tempe CAVC 351 TA: TBA Prerequisite: Basics of linear algebra, probability, statistics algorithm design and analysis, However, if you've never taken an in-depth Linear Algebra class, I doubt you'll be able to do very well. Course Hero is not sponsored or endorsed by any college or university. jt7?Rem t\mtvNc\NswE}Bivw)/6TY}nD,)NNM %iC)&"-*wxyzg.LQS-LP];b3Q4ie}3 hpp)OZ[p%`(Hiy{>[bX^s^VN_O,s%~>hl'\-6O-B n*TVv>u%J+=LF10y3&|HF]@ ;]B EcN9\7_jrv,giw= &!m|NkA(OC -BAVew3IIl)-TWcW{GP:m"Z{,sMJ Spring 2023, CSE 110 Create an account to follow your favorite communities and start taking part in conversations. Log in Join. (507 Documents), CSE 565 - Assignment 3: Implementation of K-Means Clustering on breast-cancer-wisconsin data set. Cross validation and PCA (Principal component analysis). The course is pretty easy. endobj << /Type /XRef /Length 81 /Filter /FlateDecode /DecodeParms << /Columns 5 /Predictor 12 >> /W [ 1 3 1 ] /Index [ 198 174 ] /Info 108 0 R /Root 200 0 R /Size 372 /Prev 1163623 /ID [<4331598ac6c96e9e0fc3615f7506922d><49618b877b4a1ae37e7026ab2d11d928>] >> Companies. There were quizzes every two weeks. The official title of this course is CSE 511 Data Processing at Scale. ;,0s; s9h0 s9h0+QRt)].EKRt)].EK.Gb>}(QGb>}~7~7~7~7~7W* xcbd`g`b``8 "8@$c#dKAa z?ANg$yZ 8Jqa:$ ;?u/X A tag already exists with the provided branch name. Limitations of K means A tag already exists with the provided branch name. Download. This is a discussion page for all things ASU, covering everything from class questions to innovation memes. 0000008439 00000 n 0000002612 00000 n CSEA - Administrative Services Unit (ASU) CSEA - Operational Services Unit (OSU) CSEA - Institutional Services Unit (ISU) CSEA - Division of Military and Naval Affairs Unit (DMNA) CWA/GSEU - State University Graduate Student Negotiating Unit (GSNU) C82 - Security Supervisors Unit (SSPU) DC-37 - Rent Regulation Services Unit . ~$?O yr9s:%.$`!=>%|J#n%Jp+uba W+ His lecture videos were just so long. Students acquire the knowledge, skills and expertise in designing scalable systems (parallel, distributed and real time) that acquire . This repository includes programming assignments of the Machine Learning Course. 0000015031 00000 n 0000029411 00000 n %PDF-1.5 Learning GMM with known variance Assignment 1: Implementation of Gaussian Naive Bayes and Logistic Regression on Bank_Note_Authentication dataset. If you really want to learn the material, it will be math heavy and require some work to understand the proofs and why the stuff works but in terms of homeworks and exams, the problems were very straightforward plug and chug the algorithm type of stuff. Course Description: . In rece. [z[Z. Students also viewed FIN 300 CH 1-4 Summary The Science of Nutrition lecture Chapter 1-8 CSE 511 (Data Processing at Scale) course project phase 2 task (Fall 2019 Arizona State University) - CSE511_HotCellAnalysis.scala 0000025775 00000 n 0000059739 00000 n . 0000001365 00000 n Latest commit 81e144b Aug 11, 2021 History. Discover Salaries. The class was just mostly busy work. Cross validation << /BitsPerComponent 8 /ColorSpace /DeviceRGB /Filter /FlateDecode /Height 136 /SMask 205 0 R /Subtype /Image /Type /XObject /Width 775 /Length 13781 >> Spring 2017. I took this class in Fall 2019 and I enjoyed it a lot. I had second thoughts because I am taking it in my first semester, which is hectic and demanding as an international student. Assignment 1 - GNB and Logistic Regression, CSE 575 - Statistical Machine Learning - Spring 2018. Sign In. kSc-+!m:}rEFVH^hn (-L Are you sure you want to create this branch? Degree Awarded: MCS Computer Science (Big Data Systems) This concentration under the MCS degree program is designed for graduate students who want to pursue a thorough education in the area of big data systems. Is CSE 575 Statistical Machine Learning by Yingzhen Yang a challenging course? 's':'']}, CSE 510 202 0 obj 2000sSilentFilmStar 2 yr. ago. CSE579 KRR Spring-A 2021 syllabus-Course Map N/A University Arizona State University Course Knowledge Representation and Reasoning (CSE579) Academic year2020/2021 Helpful? Bassett Healthcare Network is now hiring a Registered Nurse - ASU/PACU/Pre-Op Interview in Oneonta, NY. 0000000016 00000 n %PDF-1.7 % Companies. 0000002120 00000 n A big project. Spring 2017, BME 213: Biomedical and Bioengineering Ethics, BMS 102: Western Civilization: Ancient and Medieval Europe, ASM 104: Bones, Stones, and Human Evolution. 0000029480 00000 n Bias-variance tradeoff Do you want full access? screencapture-coursera-org-learn-cse575-statistical-machine-learning-quiz-QQ3rI-knowledge-check-calc, screencapture-coursera-org-learn-cse575-statistical-machine-learning-quiz-goz3B-knowledge-check-prob, screencapture-coursera-org-learn-cse575-statistical-machine-learning-quiz-3qEtx-knowledge-check-defi, screencapture-coursera-org-learn-cse575-statistical-machine-learning-quiz-Eanxm-knowledge-check-intr, 9 A is a situation in which one person inaccurately perceives a second person, Question 9 1 1 pts The unspoken agreements between the audience and the actor, BSBOPS505 Student Assessment Tasks 17-02-21 (2).docx, Guatemala and Honduras both suffer from lack of governmental cooperation in, Jamphel's Copy of 1.15.APPLY Owl Pellet Analysis questions.docx, It was a cold morning in early spring snow still on the ground but there was, 10 there is the uninvited guest He comes uninvited and forces his way in and he, o BANRUPTCY TRUSTEE divides the bankrupt persons wealth and assets o You choose, Was it the same soldier that struck you pushed you in the arm No I was pushed, Identify the statements that hold TRUE for the following reaction 8 points A The, E XERCISE A The complete subject is underlined in each of the following, CSE 110 - HWkO>>q=(X^eYnf:1&Y0U0z4;.Fg > _%l$`&IOL{c.E"t"HPFsU^'WkY|99JN3}yvzvWtFB%a@p (2.frmN%0F/!,s:.) %/.j! Once you get to the second half of the semester that's when the workload picks up since the content got more difficult some homework's that involve binary analyses took the class longer . More info. Thus, you can be confident to get good score. Logistic Regression CSE 205 - Programming with Principles in Business, CSE 575 mrityunjyaq 2 yr. ago. - But, damn I learned a lot. Lecturer of Statistics Fitzelle Hall 224 607-436-3529 Michael.Aryee@oneonta.edu. CSE 576 (Natural Language Processing) Level of difficulty: 3/5 Prof: Dr. Chitta Baral I took this class in Fall 2018 and it was mostly medium effort on my part. The hardest part is the group project where it is open ended on what you want to do related to machine learning and even that was not particularly challenging. I thought the teaching was kind of meh where the professor mostly just read off of the slides. stream Careers. The TA was the only proctor and she just kept saying "quiet" or looking the other way. Nothing particularly hard. Summer 2019, Would you please explain how the PC to (0,-1), Thanks for your reply and providing the detailed information. Class doesn't really deviate from the NLP book by Dan Jurafsky. Your gal here is really smart and ended up with an A+. This is a preview. I passed this class with an A-. The prof. started off from the basics and spent a significant bit of time on it. . It is not challenging. I legit got went to sleep watching them. This is a Premium document. Spring 2023, CSE 47710 Shout out to the PhD student who advised our team and really helped me learn. 0000008709 00000 n 0000005644 00000 n The prof. started off from the basics and spent a significant bit of time on it. But, the class slides were really in depth and you learn a lot. 0000151733 00000 n (874 Documents), CSE 551 - OA Rounds Grading was pretty liberal and they found places to give away points. << /Linearized 1 /L 1165082 /H [ 1889 260 ] /O 202 /E 70041 /N 18 /T 1163622 >> (886 Documents), CSE 240 - 264 Gelfond, professor_unknown, ASU, FENG, Balasooriya/Kouvetakis, KevinBurger, DebraCaliss, Aviral Shrivastava, allee, SandeepGupta, CHEN, Kuminoff, Janse, Hemanth, FrankCalliss, AndrewCord, Farley,T, Staff, Guoliang Xue, Yann Hang Lee, Sundaram,H, nakamura, Chen,Y, Skousen,A, Hessam S. Sarjoughian, Ihan Hsiao, RIDEN, causey, {[ course.numDocs ]} Document{[course.numDocs>1? Arizona State University CSE CSE 579 CSE 579 * We aren't endorsed by this school CSE 579 579 - Arizona State University School: Arizona State University * Documents (7) Q&A (4) Textbook Exercises 579 Documents All (7) Showing 1 to 7 of 7 Sort by: Most Popular 8 pages CSE579_Week-4_GradedProgrammingAssignmentProblems.pdf 22 pages MT Review.pdf 0000028534 00000 n PhD student at ASU CIDSE. Assignment 1: Implementation of Gaussian Naive Bayes and Logistic Regression on Bank_Note_Authentication dataset. endobj Spring 2017, These notes cover problems from the following topics: Go Premium and unlock all 3 pages. Bayes classifier But, based on what you said, I think it should be manageable. s.eX|>>KO'+ .${ endstream endobj 52 0 obj <> endobj 53 0 obj <> endobj 54 0 obj <>stream 10 Comments Please sign inor registerto post comments. 20 pages Three exams but, if you do well on the two mid terms, you don't need to take the final. 0000003863 00000 n Please put in your experiences with the class. But, I think I had it easy. 's':'']}, {[ course.numQa ]} Q&A{[course.numQa>1? Expert Help. In this post, I will go over some limitations of the k-means algorithm. H\Qk@>soHm Q)-=G|nrG}.56e>\Yo)wq?onp Ofus'pk1 Qo9|^kn=5O2X7!)d"+Wcz. 0000059776 00000 n Study Resources. Spring 2017, These notes cover the following topics: 44 0 obj <> endobj xref (460 Documents). What are the centroids for each cluster? 200 0 obj Blog About. Assignment 2: Implementation of KNN Classifier on MNIST data set. Cq(48(!o_L`?[5bc:yv4QieJ86UU"NVv|-vG{kpCfD5Nt0%"K c)lh@Ujj+pv]^3'g(;3K2$G1AC Uo endstream endobj 57 0 obj [65 0 R] endobj 58 0 obj <>stream on various sites (chegg,course hero,studoc.) 0000000956 00000 n ASU_CSE_575 Contains the Assignment solution for ASU course CSE 575 (Statistical Machine Learning) Some the implementions from scratch in Python: Naive Bayes Classifier Logistic Regression KNN Kmeans and Kmeans++ Cross validation and PCA (Principal component analysis) CSE 551 Foundations of Algorithm - Arizona State University School: Arizona State University * Documents (451) Q&A (41) Textbook Exercises Foundations of Algorithm Documents All (451) Homework Help (11) Notes (6) Test Prep (11) Lab Reports (3) Showing 1 to 100 of 451 Sort by: Most Popular 6 pages 551mt1s21sol.pdf 7 pages Week 3 Graded Quiz.pdf Naive Bayes classifier Prediction error Contribute to kumalpatel/ASU-Courses development by creating an account on GitHub. 0000018477 00000 n View job listing details and apply now. endobj Z`sMBCw]\5)If6B\Tc. Two assignments and an idea paper. Mixture Model FB++HXX3 Gc;4/3p~dU]DssNzK n+OzvcIEte7!=|~f}`Q,:' (CSE 575) About this Course The link between inference and computation is central to statistical machine learning, which combines the computational sciences with statistics. 3 elite notetakers have produced 3 study materials for this Computer Science and Engineering course. r\a W+ hb```b``)a`W@( ctK` ` ,!wC}_0)/W`B-*m]2K[LHwem$gOH'OqN&NUDC}kk [v t`DK CSE 571: Artificial Intelligence (Spring 2020) Warning: This class is NOT for the faint-hearted; information herein is subject to change. The final replaces the lowest exam. EM algorithm for GMM 3 elite notetakers have produced 3 study materials for this Computer Science and Engineering course. It is not challenging. 0000005147 00000 n from the ASU Library) Handbook of knowledge representation. QFBIq`UD:pt]Qd2h w bm8QhyiH?IIl@ ?b7[o=`JTxe6#m7'(a|04'e}IPYfpAJsFW$}/ee)DP$F5hO #:i)u;KM%lPbm>(| ,X$'o$EbVbRPHTR7)%EDM('2n8#\ \AbC P%gzaxVYR"ZQ*>0nlvs)v@WY!CRIi1J. hw1 cse 575: statistical machine learning assignment instructor: prof. jingrui he out: jan 18, due: feb 15, 2019 submit electronically, using the submission . Took the online version. (1181 Documents), CSE 340 - 340 Our faculty are internationally recognized for their research, conducting many funded, state-of-the-art research projects for both government and industry. Audtk1>wNN CSE 511 in Online Master of Computer Science. - << /Names 277 0 R /OpenAction 343 0 R /Outlines 257 0 R /PageMode /UseOutlines /Pages 256 0 R /Type /Catalog >> Edit: CSE 575 with Li: https://www.reddit.com/r/ASU/comments/emc7ew/theres_not_a_lot_of_info_about_cs_grad_classes/fdnpzek?utm_medium=android_app&utm_source=share, Scan this QR code to download the app now, https://www.reddit.com/r/ASU/comments/emc7ew/theres_not_a_lot_of_info_about_cs_grad_classes/fdnpzek?utm_medium=android_app&utm_source=share. endstream stream Something I hated about the class was the amount of cheating that was facilitated by the TA. CSE 575 Statistical Machine Learning is a Computer Science and Engineering course at ASU. Discover the best homework help resource for CSE at Arizona State University. Nothing to stress about. Jobs. This degree program is a collaboration between the School of Computing and Augmented Intelligence (SCAI) and the School of Mathematical and Statistical Sciences (SoMSS). I took the hybrid Thursday classes. Union Contracts. (693 Documents), CSE 120 - You'll gain a deep understanding of cutting-edge topics like AI, cybersecurity, blockchain, and big data. I didn't really learn a lot. H\_k@|ylJL There was one big project that you can choose from the list that they give out and I learned the most from this. 0000085330 00000 n 0000005942 00000 n Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. BAYES Spring 2023, this is for ATMEGA32U4 BOARD Below is skeleton code: .include "m32U4def.inc" ; Include definition file, this is what I have so far: .include "m32U4def.inc" .def mpr = r16 ;multi-purpose register ;input buttons .equ tone_a4 = 4 .equ tone_b4 = 5 .equ. 17 open jobs for Or asu pacu nurse in Oneonta. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Spring 2023, CSE 579 Each quiz was worth around 2.5 points. This class mostly dealt with concepts of probability. 0000001981 00000 n Read More General.asu LINUX Setup A take home final exam. Become Premium to read the whole document. B)t B)t Discover Companies. There were quizzes every week and two exams. I took this class in Fall 2018 and it was mostly medium effort on my part. : an American History (Eric Foner), Module 1 DISCUSSION 2021 FALL A ANSWER WITH RESPONSE TO STUDENTS, CRJ 302 - Lecture Notes Fall 2021 Semester, Nutrition IN THE LIFE Cycle noteS FULL REVISED EDITED AND COMPREHENSIVE, Java Programming by Joyce Farrell (z-lib.org), The Life of Street Rats Arizona state university, range of areas from Articial Intelligence to Software Engineering. 0000003976 00000 n Xue tried his best but the number of times he said-"The explanation to this is given in Bishop"- was too many. In addition to artificial intelligence, fields . Subreddit for Arizona State University: Home of the Sun Devils! And they weren't quiet about it. And there were soo many of them. % If you really want to learn the material, it will be math heavy and require some work to understand the proofs and why the stuff works but in terms of homeworks and exams, the problems were very straightforward plug and chug the algorithm type .
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