Contents
1. Registration and Coursework Policies
Satisfactory Progress
You are expected to make satisfactory progress toward your degree, commensurate with your other responsibilities. You must maintain continuous registration either via coursework or research credits. You must maintain an overall B average in your coursework exclusive of CMSC 799 (Thesis Research) and CMSC 899 (Dissertation Research). Otherwise, your graduate admission may be terminated.
If you receive a grade of I (incomplete) in any course, you must have this grade removed before you can be granted your degree. If you receive a grade of D or F in a graduate course, you may not complete your degree unless you raise your grade for that course to a C or higher by repeating the course.
You are responsible for being aware of and meeting all deadlines and requirements relevant to your progress through graduate school. Exact dates of examinations and application deadlines are posted by the Graduate School each academic year, and by the department each semester. The department will notify you of any changes in departmental policies either by sending you mail or by posting an announcement to gradlist [-at-] cs [dot] umd [dot] edu.
You are responsible for notifying the Computer Science Graduate Office in writing of any circumstances that would prevent you from maintaining graduate standing or fulfilling the requirements for your degree.
Registration and Minimum course load per semester
All Computer Science graduate students must register using Testudo (http://www.testudo.umd.edu). Each semester, your advisor must approve your registration as well as changes to it. The Computer Science Graduate Office helps students obtain permission to take restricted courses. Due to heavy demand for Computer Science courses, we strongly advise you to register early.
Minimum course load
Course load is measured in units, which are defined as follows:
Courses numbered 000-399 |
2 units/credit hour |
Courses numbered 400-499 |
4 units/credit hour |
Courses numbered 500-599 | 5 units/credit hour |
Courses numbered 600-897 | 6 units/credit hour |
Research courses 799 | 12 units/credit hour |
Pre-Candidacy Research 898 | 18 units/credit hour |
Post-Candidacy Research 899 | Mandatory 6 credits /108 units total |
Audited courses do not generate graduate units. A part-time graduate student must complete at least 12 units per year. A full-time graduate student is normally expected to successfully complete a combination of courses that totals at least 48 units each semester (excluding summer sessions). For graduate assistants, the minimum full-time requirement is reduced to 24 units, calculated as above (36 units for half-time appointments). Graduate assistants and International students must maintain full-time status.
Consult this reference to help calculate whether or not your coursework qualifies you as a full-time graduate student:
400-499 |
600-897 | 799 | 898 | 899 | |
---|---|---|---|---|---|
1 cr. | 4 units | 6 units | 12 units | 18 units | 18 units |
2 cr. | 8 units | 12 units | 24 units | 36 units | 36 units |
3 cr. | 12 units | 18 units | 36 units | 54 units | 54 units |
4 cr. | 16 units | 24 units | 48 units | 72 units | 72 units |
5 cr. | 20 units | 30 units | 60 units | ||
6 cr. | 24 units | 36 units | 72 units | ||
7 cr. | 28 units | 42 units | |||
8 cr. | 32 units | 48 units | |||
9 cr. | 36 units | 54 units |
Taking Courses from Other Departments
Courses from other departments can be used to satisfy the elective requirements (see section 2.3 in the policy manual). In certain cases, courses from other departments may be used for MS/PhD qualifying coursework. These courses must still meet the requirements for qualifying designation: they must primarily (at least 75%) base the course grade on a combination of homework, programming assignments, research projects, and exams. Any of these components are optional, except the courses' written exam(s) which must account for at least 30% of the grade. If you want to do this, you should submit to the Grad Office a request that:
- Identifies the course, gives info (syllabus, instructor, etc.)
- Identifies the area in which you want the course to count
- A letter of support from your advisor
The Grad Office forwards the request to the relevant area representative and asks for a decision on:
- Whether the course is acceptable as a Phd/MS course for the area
- If so, at what level (400 or higher).
Please submit the request sufficiently prior to the start of the semester in which the course is to be done.
Pre-Candidacy Research Credits
Pre-candidacy research credits (CMSC898) are used to maintain registration and/or full-time status when formal coursework will not meet those requirements. If you are doing research with your advisor but have not yet advanced to candidacy, you should also register for CMSC 898 to reflect these efforts.
CMSC898 section numbers are directly related to the professor you are doing your research with. A listing of section numbers can be found here.
Note: For PhD students getting an MS along-the-way, CMSC798 should be taken in place of CMSC898 for the maximum of 6 credits, as CMSC898 does not count towards the M.S.
PhD Coursework Waiver Policy
Up to three waivers may be granted to reduce the number of courses needed to be taken at UMD. This is granted to students with prior graduate coursework at a comparable school. For this, the course must closely approximate a UMD qualifying course (exams, be at the graduate level, and have a comparable syllabus). They must be approved by the appropriate field committee. These courses can be used either for the mastery or elective courses. Waiving courses does not reduce the number of A’s needed at UMD.
Some notes:
- A maximum of 3 courses can be waived. Please only submit 3 requests at a time. More can be submitted if negative decisions have been reached on some of your original requests.
- No graduate courses taken for undergraduate credit will be waived (courses taken for graduate credit while enrolled in an undergraduate program, as in the BS/MS program, are eligible).
- Course waivers will not reduce the number of As required in courses taken at UMD (4).
- Waivers will not be considered for courses which are no longer being offered at UMD, or for non-CS courses.
- 400-level courses are not acceptable for credit towards the PhD, so any 400-level course equivalents you wish to count towards your MS should be requested using the Inclusion or Transfer of Credits form. This has a limit of 2 courses from an outside institution (per Graduate School policy). Note that these courses will count towards the maximum number of waivable courses (3).
Waivers are granted by field committees and approved by the Director of Graduate Studies. Requests for waivers should be submitted via this form to the appropriate field committee chair(s) by October 1 if you started in the fall semester, and March 1 if you started in the spring semester. Note you must explicitly link to the UMD course you are waiving, so a comparison can be made.
2. Course Listings
Areas and Courses
The graduate program coursework is organized into areas, each with associated faculty and courses. There are currently eight areas:
- Artificial Intelligence
- Bioinformatics
- Computer Systems
- Database Systems
- Software Engineering/Programming Languages/HCI
- Scientific Computing
- Algorithms and Computation Theory
- Visual and Geometric Computing
Below are the courses by area:
Algorithms and Computation Theory
Artificial Intelligence
Bioinformatics
Computer Systems
Database Systems
Scientific Computing
Software Engineering/Programming Languages/HCI
Visual and Geometric Computing
Some courses may appear in more than one area. However, you cannot use a particular course to satisfy more than one area's requirement.
It is expected that courses at the 600-800 level will be offered on a rotating basis, roughly every three or four semesters.
In addition to the courses listed above, special topics courses are offered, under the course numbers CMSC 818, 828, 838, etc.
898/899/799/798 Section Numbers
Sections for the following independent research courses (CMSC798, 799, 898, 899) are by faculty member.
- CMSC798 - Master's Non-Thesis Research
- CMSC799 - Master's Thesis Research
- CMSC898 - Pre-Candidacy Research
- CMSC899 - Doctoral Dissertation Research
It is assumed students have already received faculty approval for registering for their section. For CM899, PhD students who have advanced to candidacy will automatically be registered each Fall and Spring by the registrar if the student has advanced by end of schedule adjustment for that semester. PhD students graduating in summer would need to register for 1 credit of CMSC899 to meet the requirement of being registered the semester of graduation.
Off-campus Internship/Individual Study (I1** or I2**): Students who are off-campus or on internship can register for "I" sections in summer (replacing the zero in the course number with the letter "I"). These sections are intended for when the student is NOT required to come to campus. All coursework is off-site or there are no on-campus meetings with the advisor. Students will be charged the off-campus mandatory student services fee if they are enrolled in this type of section.
Professor | Fall / Spring Section Numbers | Summer Session I | Summer Session II |
---|---|---|---|
Abadi | 0707 | 0109 | 0209 |
Agrawala | 1000 | 0101 | 0201 |
Ai | 1451 | ||
Alagic | 0706 | 0136 | 0236 |
Aloimonos | 1050 | 0102 | 0202 |
Arbaugh | 1100 | 0145 | 0245 |
Asgari | 1060 | 0174 | 0274 |
Baras | 1150 | ||
Barg | 0182 | 0282 | |
Barua | 1200 | 0173 | 0273 |
Battle | 0102 | 0152 | 0252 |
Bera | 1201 | ||
Bhatele | 3650 | 0137 | 0237 |
Bhattacharjee | 1350 | 0142 | 0242 |
Bhattacharyya | 1400 | ||
Boyd-Graber | 8601 | 0187 | 0287 |
Cameron | 5000 | 0158 | 0258 |
Carpuat | 1450 | 0195 | 0295 |
Chan | 1490 | ||
Chellappa | 1500 | 0147 | 0247 |
Childs | 1515 | 0191 | 0291 |
Choe, Eun Kyoung | 0123 | ||
Cleaveland | 1525 | 0184 | 0284 |
Corrada Bravo | 8501 | 0111 | 0211 |
Coudron | 1351 | 0139 | 0239 |
Cukier | 1550 | 0162 | 0262 |
Cummings | 1575 | 0155 | 0255 |
Dachman-Soled | 0117 | ||
Daume | 8201 | 0107 | 0207 |
Davis | 1600 | 0104 | 0204 |
De Floriani | 1625 | 0166 | 0266 |
Deshpande | 1635 | 0167 | 0267 |
Dhulipala | 1560 | 0177 | 0277 |
Dickerson | 8701 | 0138 | 0238 |
Dumitras | 1570 | 0157 | 0257 |
Duraiswami | 1725 | 0168 | 0268 |
Eastman | 3374 | 0173 | 0273 |
Elman | 1750 | 0106 | 0206 |
Elmqvist | 1765 | 0192 | 0292 |
Erete | 1780 | ||
Feizi | 0115 | 0105 | 0205 |
Feldman | 0112 | ||
Fermuller | 0118 | ||
Foster | 1800 | ||
Franklin | 1850 | ||
Frias-Martinez | 3600 | 0140 | 0240 |
Gasarch | 1900 | 0110 | 0210 |
Golbeck | 1960 | ||
Goldstein | 1980 | 0194 | 0294 |
Golub | 1975 | 0175 | 0275 |
Gottesman | 1203 | 0143 | 0243 |
Grant | 2000 | 0176 | 0276 |
Gupta | 2100 | 0177 | 0277 |
Hajiaghayi | 2175 | 0189 | 0289 |
Hannenhalli | 2125 | ||
Hicks | 2200 | 0163 | 0263 |
Hollingsworth | 2250 | 0113 | 0213 |
Horty | 2300 | 0178 | 0278 |
Huang, Furong | 0104 | 0103 | 0203 |
Huang, Heng | 2305 | 0130 | 0230 |
Huang, Jia-Bin | 2310 | 0198 | 0298 |
Hugue | 0179 | 0279 | |
Jacob, Bruce | 2325 | ||
Jacobs, David | 2350 | 0160 | 0260 |
JaJa, Joseph | 0125 | ||
Kacorri | 0106 | 0135 | 0235 |
Katz | 2450 | 0164 | 0264 |
Keleher | 2500 | 0114 | 0214 |
Khuller | 2550 | 0115 | 0215 |
Kruskal | 2600 | ||
Lackey | 0114 | 0136 | 0236 |
Lampropoulos | 1801 | ||
Lazar | 0703 | ||
Leiserson | 0105 | 0146 | 0246 |
Levin | 2615 | 0132 | 0232 |
Liu, Yi-Kai | 2625 | ||
Liu, Zhicheng | 3351 | 0172 | 0272 |
Lin, Ming | 0111 | 0131 | 0231 |
Manocha | 0107 | 0127 | 0227 |
Mazurek | 2635 | 0190 | 0290 |
Marciano | 0702 | ||
Memon | 2650 | 0250 | |
Metzler | 0127 | 0182 | 0282 |
Miller | 0705 | ||
Miers | 2670 | ||
Molloy | 1202 | 0176 | 0276 |
Mount | 2700 | 0119 | 0219 |
Nau | 2750 | 0120 | 0220 |
O'Leary | 2800 | 0280 | |
Oard | 2825 | 0181 | 0281 |
Otte | 0701 | ||
Papamanthou | 2840 | 0118 | 0218 |
Paredes | 2847 | 0163 | 0263 |
Patro | 0119 | 0116 | 0216 |
Peng | 0121 | 0185 | 0285 |
Perlis | 2850 | 0122 | 0222 |
Pop | 2875 | 0175 | 0275 |
Porter | 2900 | 0123 | 0223 |
Pugh | 2950 | 0124 | 0224 |
Purtilo | 3000 | 0125 | 0225 |
Raschid | 3050 | 0161 | 0261 |
Reggia | 3100 | 0126 | 0226 |
Regli | 0116 | 0159 | 0259 |
Resnik | 3150 | 0165 | 0265 |
Roy | 0103 | 0134 | 0234 |
Rudinger | 0126 | 0153 | 0253 |
Ruppin | 3255 | ||
Samet | 3300 | 0129 | 0229 |
Sazawal | 3325 | 0186 | 0286 |
Shankar | 3350 | 0130 | 0230 |
Shneiderman | 3400 | 0131 | 0231 |
Shrivastava | 0108 | 0121 | 0221 |
Spring | 3465 | 0170 | 0270 |
Srinivasan | 3500 | 0148 | 0248 |
Sussman | 3700 | 0149 | 0249 |
Teli | 0124 | ||
Tits | 3750 | 0155 | 0255 |
Tokekar | 0120 | 0197 | 0297 |
Van Horn | 3825 | 0117 | 0217 |
Varshney | 3850 | 0144 | 0244 |
Vishkin | 3900 | 0171 | 0271 |
Weintrop | 3910 | ||
Wu | 0109 | 0151 | 0251 |
Yang | 3980 | ||
Yeung | 4000 | ||
Zelkowitz | 4050 | 0136 | 0236 |
Zhou | 4060 | 0180 | 0280 |
Zwicker | 0110 | 0108 | 0208 |
MS/PhD Status of Special Topics Courses
- This section lists special topics courses (i.e., 498, 798, 8x8) by semester, and for each course, indicates the following:
- Fall 2015 and later - whether it is MS/PhD qualifying and area
- Spring 2015 and earlier - whether it is PhD qualifying and area; whether it is MS qualifying and area; whether its exams consistute an MS comp in an area and, if so, which of its exams.
- [Spring 2015 and earlier: MS or PhD qualifying courses must base their grades primarily on exams (and not on paper readings, presentations, etc). An MS comp must be based entirely on exams (and not projects, homeworks, term papers, etc). It can be one or more of the regular exams in the course (e.g., final, midterm + final), regular exams augmented with additional questions, a separate exam, or any combination.]
- Instructors offering such courses should email the relevant information to the grad office well before the start of the semester.
- Information for a semester is finalized when the semester starts.
- If a special topics course being offered is not listed here, then it does not count as MS/PhD qualifying or toward MS comps.
Fall 2023
-
CMSC818B: Decision-Making for RoboticsMS/PhD qualifying in Artificial Intelligence
-
CMSC818E: Distributed And Cloud-Based Storage SystemsMS/PhD qualifying in Computer Systems
-
CMSC818F: Cryptography and Hostile GovernmentsMS/PhD qualifying in Computer Systems
-
CMSC818I: Large Language Models, Security, and PrivacyMS/PhD qualifying in Artificial Intelligence
MS/PhD qualifying in Computer Systems -
CMSC818J: Domain Specific ArchitecturesMS/PhD qualifying in Computer Systems
-
CMSC828C: Statistical Pattern RecognitionMS/PhD qualifying in Artificial Intelligence
-
CMSC828I: Visual Learning & RecognitionMS/PhD qualifying in Artificial Intelligence
MS/PhD qualifying in Visual and Geometric Computing -
CMSC829A: Algorithmic Evolutionary BiologyMS/PhD qualifying in Bioinformatics
-
CMSC838B: Differentiable ProgrammingMS/PhD qualifying in Artificial Intelligence
MS/PhD qualifying in Software Engineering/Programming Languages/HCI -
CMSC839A: Embodied Media DesignMS/PhD qualifying in Software Engineering/Programming Languages/HCI
-
CMSC848F: 3D VisionNot MS/PhD qualifying
-
CMSC848I: Trustworthy Machine LearningNot MS/PhD qualifying
-
CMSC848Q: How and Why Artificial Intelligence Answers QuestionsMS/PhD qualifying in Artificial Intelligence
-
CMSC858J: Network design FoundationsMS/PhD qualifying in Algorithms and Computation Theory
-
CMSC878B: Fast Multipole Methods: Fundamentals and ApplicationsMS/PhD qualifying in Scientific Computing
Spring 2023
-
CMSC818J: Domain Specific ArchitecturesMS/PhD qualifying in Computer Systems
-
CMSC818L: Fantastic Zero-Knowledge Proofs and How to Use ThemMS/PhD qualifying in Computer Systems
-
CMSC828A: Fantastic Machine Learning Paradigms and Where to use ThemMS/PhD qualifying in Artificial Intelligence
-
CMSC828O: Computational and Mathematical Analysis of Networks Across ScalesNot MS/PhD qualifying
-
CMSC828T: Sorting in Space and Words and Foundations of Multidimensional and Metric Data StructuresMS/PhD qualifying in Database Systems
MS/PhD qualifying in Visual and Geometric Computing -
CMSC838C: Advances in XRMS/PhD qualifying in Software Engineering/Programming Languages/HCI
MS/PhD qualifying in Visual and Geometric Computing -
CMSC838D: Embodied Media DesignMS/PhD qualifying in Software Engineering/Programming Languages/HCI
-
CMSC838E: Compiler ConstructionMS/PhD qualifying in Software Engineering/Programming Languages/HCI
-
CMSC848D: Explainable Natural Language ProcessingMS/PhD qualifying in Artificial Intelligence
-
CMSC848E: Machine Learning for Data Management SystemsMS/PhD qualifying in Database Systems
-
CMSC858C: Randomized AlgorithmsMS/PhD qualifying in Algorithms and Computation Theory
-
CMSC858L: Quantum ComplexityMS/PhD qualifying in Algorithms and Computation Theory
-
CMSC858N: Scalable Parallel Algorithms and Data StructuresMS/PhD qualifying in Algorithms and Computation Theory
-
CMSC858Z: Modern Discrete ProbabilityNot MS/PhD qualifying
Fall 2022
-
CMSC818X: Introduction to Parallel ComputingMS/PhD qualifying in Computer Systems
-
CMSC828C: Statistical Pattern RecognitionMS/PhD qualifying in Artificial Intelligence
-
CMSC828F: Computational PsycholinguisticsNot MS/PhD qualifying
-
CMSC828J: Common-sense Reasoning and Natural Language UnderstandingNot MS/PhD qualifying
-
CMSC828V: Numerical Methods for Data Science and Machine LearningMS/PhD qualifying in Scientific Computing
-
CMSC828W: Foundations of Deep LearningMS/PhD qualifying in Artificial Intelligence
-
CMSC828X: Physically-based modeling, Simulation and AnimationMS/PhD qualifying in Visual and Geometric Computing
-
CMSC828Y: Unsupervised LearningMS/PhD qualifying in Artificial Intelligence
-
CMSC829A: Algorithmic Evolutionary BiologyMS/PhD qualifying in Bioinformatics
-
CMSC838K: Behavior Change and Affective ComputingMS/PhD qualifying in Software Engineering/Programming Languages/HCI
-
CMSC838X: Personal Health Informatics & VisualizationMS/PhD qualifying in Software Engineering/Programming Languages/HCI
-
CMSC848B: Computational ImagingMS/PhD qualifying in Visual and Geometric Computing
-
CMSC848C: Processing; Human-AI InteractionMS/PhD qualifying in Artificial Intelligence
-
CMSC858F: Algorithmic Lower Bounds: Fun with Hardness ProofsMS/PhD qualifying in Algorithms and Computation Theory
-
CMSC858O: On the Foundation of End-to-End Quantum ApplicationsMS/PhD qualifying in Algorithms and Computation Theory
Spring 2022
-
CMSC818G: Information-Centric Design of systemsMS/PhD qualifying in Computer Systems
-
CMSC828I: Multilingual Natural Language ProcessingMS/PhD qualifying in Artificial Intelligence
-
CMSC828L: Deep LearningMS/PhD qualifying in Artificial Intelligence
MS/PhD qualifying in Visual and Geometric Computing -
CMSC828O: Computational and Mathematical Analysis for Networks Across ScalesNot MS/PhD qualifying
-
CMSC838C: Advances in XRMS/PhD qualifying in Software Engineering/Programming Languages/HCI
MS/PhD qualifying in Visual and Geometric Computing -
CMSC838E: Compiler ConstructionMS/PhD qualifying in Software Engineering/Programming Languages/HCI
-
CMSC848Q: How and Why Artificial Intelligence Answers QuestionsMS/PhD qualifying in Artificial Intelligence
-
CMSC858D: Algorithms, Data Structures and Inference for High-throughput GenomicsMS/PhD qualifying in Algorithms and Computation Theory
MS/PhD qualifying in Bioinformatics -
CMSC858F: Algorithmic Lower Bounds: Fun with Hardness ProofsMS/PhD qualifying in Algorithms and Computation Theory
-
CMSC858Q: Classical and Quantum CodesMS/PhD qualifying in Algorithms and Computation Theory
Fall 2021
-
CMSC818E: Clouds, Consistency, & ConsensusMS/PhD qualifying in Computer Systems
-
CMSC818F: Cryptography and Hostile GovernmentsMS/PhD qualifying in Computer Systems
-
CMSC818X: Introduction to Parallel ComputingMS/PhD qualifying in Computer Systems
-
CMSC828C: Statistical Pattern RecognitionMS/PhD qualifying in Artificial Intelligence
-
CMSC828I: Advanced Techniques in Visual Learning and RecognitionMS/PhD qualifying in Artificial Intelligence
MS/PhD qualifying in Visual and Geometric Computing -
CMSC828J: Common-sense Reasoning and Natural Language UnderstandingNot MS/PhD qualifying
-
CMSC828V: Numerical Methods for Data Science and Machine LearningMS/PhD qualifying in Scientific Computing
-
CMSC828W: Foundations of Deep LearningMS/PhD qualifying in Artificial Intelligence
-
CMSC828Z: Just Machine LearningNot MS/PhD qualifying
-
CMSC829A: Algorithmic Evolutionary BiologyMS/PhD qualifying in Bioinformatics
-
CMSC838B: Differentiable ProgrammingMS/PhD qualifying in Software Engineering/Programming Languages/HCI
-
CMSC838G: Testing and VerificationMS/PhD qualifying in Software Engineering/Programming Languages/HCI
-
CMSC838X: Personal Health Informatics & VisualizationMS/PhD qualifying in Software Engineering/Programming Languages/HCI
-
CMSC848B: Computational ImagingMS/PhD qualifying in Visual and Geometric Computing
-
CMSC858G: Quantum Error Correction and Fault-ToleranceMS/PhD qualifying in Algorithms and Computation Theory
-
CMSC858O: The Foundation of End-to-End Quantum ApplicationsNot MS/PhD qualifying
Spring 2021
-
CMSC828D: Introduction to Data VisualizationMS/PhD qualifying in Database Systems
MS/PhD qualifying in Software Engineering/Programming Languages/HCI -
CMSC828E: Privacy and Ethics in Data Management SystemsMS/PhD qualifying in Database Systems
-
CMSC828F: Computational PsycholinguisticsNot MS/PhD qualifying
-
CMSC828I: Multilingual Natural Language ProcessingMS/PhD qualifying in Artificial Intelligence
-
CMSC828L: AI and Existential Threats to CivilizationNot MS/PhD qualifying
-
CMSC828M: Applied Mechanism Design for Social GoodMS/PhD qualifying in Artificial Intelligence
-
CMSC828T: Sorting in Space and Words and Foundations of Multidimensional & Metric Data StructuresMS/PhD qualifying in Database Systems
MS/PhD qualifying in Visual and Geometric Computing -
CMSC838E: Compiler ConstructionMS/PhD qualifying in Software Engineering/Programming Languages/HCI
-
CMSC858M: Algorithmic Lower Bounds: Fun with Hardness ProofsMS/PhD qualifying in Algorithms and Computation Theory
-
CMSC858Q: Quantum AlgorithmsMS/PhD qualifying in Algorithms and Computation Theory
-
CMSC858T: Introduction to Secure Distributed ComputationMS/PhD qualifying in Algorithms and Computation Theory
Fall 2020
-
CMSC818B: Decision-Making for RoboticsMS/PhD qualifying in Artificial Intelligence
MS/PhD qualifying in Visual and Geometric Computing -
CMSC818E: Distributed And Cloud-Based Storage SystemsMS/PhD qualifying in Computer Systems
-
CMSC818F: Applied Cryptography and Hostile Governments SeminarMS/PhD qualifying in Computer Systems
-
CMSC818K: Coding Theory and ApplicationsMS/PhD qualifying in Algorithms and Computation Theory
-
CMSC818W: Wireless and Mobile Systems for the IoTMS/PhD qualifying in Computer Systems
-
CMSC818X: Introduction to Parallel ComputingMS/PhD qualifying in Computer Systems
-
CMSC828C: Statistical Pattern RecognitionMS/PhD qualifying in Artificial Intelligence
-
CMSC828I: Advanced Techniques in Visual Learning and RecognitionMS/PhD qualifying in Artificial Intelligence
MS/PhD qualifying in Visual and Geometric Computing -
CMSC828J: Common-sense Reasoning and Natural Language UnderstandingNot MS/PhD qualifying
-
CMSC828P: Algorithms and Machine Learning for Analyzing Mutations in CancerMS/PhD qualifying in Bioinformatics
-
CMSC828U: Algorithms in Machine Learning: Guarantees and AnalysesMS/PhD qualifying in Artificial Intelligence
MS/PhD qualifying in Algorithms and Computation Theory -
CMSC828V: Numerical Methods for Data Science and Machine LearningMS/PhD qualifying in Scientific Computing
-
CMSC828W: Foundations of Deep LearningMS/PhD qualifying in Artificial Intelligence
-
CMSC838J: Interactive Technologies in Human-Computer InteractionMS/PhD qualifying in Computer Systems
MS/PhD qualifying in Software Engineering/Programming Languages/HCI -
CMSC838X: Personal Health Informatics & VisualizationMS/PhD qualifying in Software Engineering/Programming Languages/HCI
-
CMSC858D: Algorithms, Data Structures and Inference fo High-Throughput GenomicsMS/PhD qualifying in Algorithms and Computation Theory
MS/PhD qualifying in Bioinformatics
Spring 2020
-
CMS828Y: Advanced Topics in Information Processing; Human-Level AIMS/PhD qualifying in Artificial Intelligence
-
CMSC818D: Advanced Topics in Computer Systems; Human Factors in Security and PrivacyMS/PhD qualifying in Software Engineering/Programming Languages/HCI
-
CMSC818N: Advanced Topics in Computer Systems; RoboticsMS/PhD qualifying in Artificial Intelligence
MS/PhD qualifying in Visual and Geometric Computing -
CMSC828B: Advanced Topics in Information Processing; Neural Machine TranslationNot MS/PhD qualifying
-
CMSC828M: Advanced Topics in Information Processing; Applied Mechanism Design for Social GoodMS/PhD qualifying in Artificial Intelligence
-
CMSC838E: Advanced Topics in Programming Languages; Compiler ConstructionMS/PhD qualifying in Software Engineering/Programming Languages/HCI
-
CMSC838J: Advanced Topics in Programming Languages; Interactive Technologies in Human-Computer InteractionMS/PhD qualifying in Computer Systems
MS/PhD qualifying in Software Engineering/Programming Languages/HCI -
CMSC858R: Advanced Topics in Theory of Computing; Ramsey Theory and its ApplicationsMS/PhD qualifying in Algorithms and Computation Theory
Fall 2019
-
CMSC818B: Decision-Making for RoboticsMS/PhD qualifying in Artificial Intelligence
MS/PhD qualifying in Visual and Geometric Computing -
CMSC818E: Distributed and Cloud-Based Storage SystemsMS/PhD qualifying in Computer Systems
-
CMSC818O: Computer and Network SecurityMS/PhD qualifying in Computer Systems
-
CMSC818W: Wireless Systems and Mobile Systems IoTMS/PhD qualifying in Computer Systems
-
CMSC828C: Statistical Pattern RecognitionMS/PhD qualifying in Artificial Intelligence
MS/PhD qualifying in Visual and Geometric Computing -
CMSC828D: Interactive Data AnalyticsMS/PhD qualifying in Database Systems
MS/PhD qualifying in Software Engineering/Programming Languages/HCI -
CMSC828I: Advanced Techniques in Visual Learning and RecognitionMS/PhD qualifying in Artificial Intelligence
MS/PhD qualifying in Visual and Geometric Computing -
CMSC828O: Computational and Mathematical Analysis of Biological Networks across ScalesMS/PhD qualifying in Bioinformatics
-
CMSC828Q: Nature-Inspired ComputingMS/PhD qualifying in Artificial Intelligence
-
CMSC828X: Physically-based Modeling, Simulation, and AnimationMS/PhD qualifying in Scientific Computing
MS/PhD qualifying in Visual and Geometric Computing -
CMSC828Y: Advanced Topics in Information Processing - Unsupervised LearningMS/PhD qualifying in Artificial Intelligence
-
CMSC828Z: Information Retrieval SystemsMS/PhD qualifying in Database Systems
-
CMSC838X: Personal Health Informatics & VisualizationMS/PhD qualifying in Software Engineering/Programming Languages/HCI
-
CMSC858D: Algorithms, Data Structures and Inference for High-Throughput GenomicsMS/PhD qualifying in Bioinformatics
-
ENEE729P: Modern Discrete ProbabilityMS/PhD qualifying in Algorithms and Computation Theory
Spring 2019
-
CMSC818N: RoboticsMS/PhD qualifying in Artificial Intelligence
MS/PhD qualifying in Visual and Geometric Computing -
CMSC818W: Wireless Systems and Mobile Systems IoTMS/PhD qualifying in Computer Systems
-
CMSC818X: Special Topics in Operating SystemsNot MS/PhD qualifying
-
CMSC818Y: Fault Tolerant Distributed SystemsMS/PhD qualifying in Computer Systems
-
CMSC828F: Computational PsycholinguisticsNot MS/PhD qualifying
-
CMSC828U: Algorithms in Machine Learning: Guarantees and AnalysesMS/PhD qualifying in Artificial Intelligence
MS/PhD qualifying in Algorithms and Computation Theory -
CMSC828X: Algorithms for Probabilistic and Deterministic Graphical ModelsMS/PhD qualifying in Artificial Intelligence
-
CMSC838J: Interactive TechnologiesMS/PhD qualifying in Software Engineering/Programming Languages/HCI
-
CMSC858M: Algorithmic Lower Bounds: Fun with Hardness ProofsMS/PhD qualifying in Algorithms and Computation Theory
Fall 2018
-
CMSC818E: Distributed and Cloud-Based Storage SystemsMS/PhD qualifying in Computer Systems
-
CMSC818O: Computer and Network SecurityMS/PhD qualifying in Computer Systems
-
CMSC828C: Information ProcessingMS/PhD qualifying in Visual and Geometric Computing
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CMSC828D: Interactive Data AnalyticsMS/PhD qualifying in Database Systems
MS/PhD qualifying in Software Engineering/Programming Languages/HCI -
CMSC828G: Advanced Topics in Information ProcessingMS/PhD qualifying in Artificial Intelligence
MS/PhD qualifying in Visual and Geometric Computing -
CMSC828I: Advanced Techniques in Visual Learning and RecognitionMS/PhD qualifying in Visual and Geometric Computing
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CMSC828L: Deep LearningMS/PhD qualifying in Artificial Intelligence
MS/PhD qualifying in Visual and Geometric Computing -
CMSC828N: Database System Architecture and ImplementationMS/PhD qualifying in Database Systems
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CMSC828O: Computational and Mathematical Analysis of Biological Networks across ScalesMS/PhD qualifying in Bioinformatics
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CMSC828P: Algorithms and Machine Learning for Analyzing Mutation in CancerMS/PhD qualifying in Bioinformatics
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CMSC838X: Personal Health Informatics & VisualizationMS/PhD qualifying in Software Engineering/Programming Languages/HCI
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CMSC858B: Blockchains, Cryptocurrencies, and Smart ContractsNot MS/PhD qualifying
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CMSC858E: Approximation AlgorithmsMS/PhD qualifying in Algorithms and Computation Theory
Spring 2018
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CMSC818C: Blockchain and Cryptocurrency TechnologiesNot MS/PhD qualifying
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CMSC818D: Human Factors in Security and PrivacyMS/PhD qualifying in Software Engineering/Programming Languages/HCI
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CMSC818G: Information-Centric Design of SystemsMS/PhD qualifying in Computer Systems
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CMSC828J: Deep Learning Models for Video AnalysisNot MS/PhD qualifying
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CMSC828M: Applied Mechanism Design for Social GoodMS/PhD qualifying in Artificial Intelligence
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CMSC858R: Ramsey TheoryMS/PhD qualifying in Algorithms and Computation Theory