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Bowers, Computer Science PDF Exploiting Concepts In Videos For Video Event Detection, Ethem Can, Computer Science PDF Learning Parameterized Skills, Bruno Castro da Silva, Computer Science PDF Robust Mobile Data Transport: Modeling, Measurements, and Implementation, Yung-Chih Chen, Computer Science PDF Model-Based Guidance for Human-Intensive Processes, Stefan Christov, Computer Science PDF General Program Synthesis from Examples Using Genetic Programming with Parent Selection Based on Random Lexicographic Orderings of Test Cases, Thomas Helmuth, Computer Science PDF Network Characteristics and Dynamics: Reciprocity, Competition and Information Dissemination, Bo Jiang, Computer Science PDF Application of Techniques for MAP Estimation to Distributed Constraint Optimization Problem, Yoonheui Kim, Computer Science PDF Exploiting Social Media Sources for Search, Fusion and Evaluation, Chia-Jung Lee, Computer Science PDF A Platform for Scalable Low-Latency Analytics using Map Reduce, Boduo Li, Computer Science PDF Energy-Efficient Content Delivery Networks, Vimal Mathew, Computer Science PDF Energy Optimizations for Smart Buildings and Smart Grids, Aditya K.
PDF Network-aware energy saving techniques in cloud data centers, Motassem Al-Tarazi PDF Situation-oriented requirements engineering, Nimanthi Atukorala PDF The construction and applications of callback control flow graphs for event-driven and framework-based mobile apps, Danilo Dominguez Perez PDF Witness generation in existential CTL model checking, Chuan Jiang PDF Nonparametric curve estimation and applications, Yu Liu PDF Taking the lab on the road and bringing the road to the lab: On using mixed-methods and virtual reality to study a location-based task, Kofi Whitney PDF Toward efficient online scheduling for large-scale distributed machine learning system, Menglu Yu PDF Medical image classification under class imbalance, Chuanhai Zhang PDF Automatic incident detection, Lakshay Ahuja PDF Enhancing users' experiences with mobile app stores: What do users see? Stull PDF The design and implementation of Candoia: A platform for building and sharing mining software repositories tools as apps, Nitin Mukesh Tiwari PDF Learning Markov Logic Network Structure by Template Constructing, Yingbei Tong PDF Computational modeling of impact and deformation, Feifei Wang PDF Execution and authentication of function queries, Guolei Yang PDF A situation-centric, knowledge-driven requirements elicitation approach, Jingwei Yang PDF Syntax errors identification from compiler error messages using ML techniques, Shubham K.
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To fulfill requirements for the Thesis option, students must satisfy the breadth requirement, adhere to an appropriate credit distribution, enroll in the graduate seminar, comply with the ethics and diversity requirements, and complete an oral and written final exam (also known as a Master's Thesis).
To encourage Masters graduates to exhibit sufficient breadth of computer science areas, MS Thesis students must take CS courses at the 50 levels that span four (4) different areas. The Graduate School requires that all graduate students satisfy two sets of requirements: one addressing training in Scholarly Ethics and Integrity, and one addressing Inclusion and Diversity.
Students in good standing typically complete this option in two years.
Students taking a terminal MS degree are expected to complete the thesis.As the table above shows, a student satisfying the MS Thesis credit requirement typically uses seven graded CS courses to supply 21 credits with the remaining nine credits accrued from CS 5994 Research and Thesis.In exceptional cases, the student can use eight CS courses to supply 24 credits with the remaining six credits from CS 5994 Research and Thesis.Earlier instances of the courses do not cover the required training, and so cannot be used.) Note: Each of the lines above must be interpreted as an individual, distinct, constraint so that all constraints have to be simultaneously satisfied.The columns are not meant to "add up", i.e., 30 6 3 is obviously not equal to 30.Lanighan, Computer Science PDF DATA-DRIVEN APPROACH TO IMAGE CLASSIFICATION, Venkatesh Narasimha Murthy, Computer Science PDF MACHINE LEARNING METHODS FOR PERSONALIZED HEALTH MONITORING USING WEARABLE SENSORS, Annamalai Natarajan, Computer Science PDF Efficient Probabilistic Reasoning Using Partial State-Space Exploration, Luis Pineda, Computer Science PDF Allocative Poisson Factorization for Computational Social Science, Aaron Schein, Computer Science PDF Learning with Aggregate Data, TAO SUN, Computer Science PDF Modeling Temporal Structures in Time-varying Networks, Kun Tu, Computer Science PDF Massive Graph Analysis in the Data Stream Model, Sofya Vorotnikova, Computer Science PDF Improving and understanding data quality in large-scale data systems, Xiaolan Wang, Computer Science PDF Abstractions in Reasoning for Long-Term Autonomy, Kyle Hollins Wray, Computer Science PDF Machine Learning Methods for Activity Detection in Wearable Sensor Data Streams, Roy Adams, Computer Science PDF Transfer Learning with Mixtures of Manifolds, Thomas Boucher, Computer Science PDF RUN-TIME PROGRAM PHASE DETECTION AND PREDICTION, Meng-Chieh Chiu, Computer Science PDF A Study of High Performance Multiple Precision Arithmetic on Graphics Processing Units, Niall Emmart, Computer Science PDF Integration of Robotic Perception, Action, and Memory, Li Yang Ku, Computer Science PDF Leveraging Eye Structure and Motion to Build a Low-Power Wearable Gaze Tracking System, Addison Mayberry, Computer Science PDF Using Latent Variable Models to Improve Causal Estimation, Huseyin Oktay, Computer Science PDF Supporting Scientific Analytics under Data Uncertainty and Query Uncertainty, Liping Peng, Computer Science PDF Transiency-driven Resource Management for Cloud Computing Platforms, Prateek Sharma, Computer Science PDF Righting Web Development, John Vilk, Computer Science PDF Data Stream Algorithms for Large Graphs and High Dimensional Data, Hoa Vu, Computer Science PDF Method for Enabling Causal Inference in Relational Domains, David Arbour, Computer Science PDF Problems in Graph-Structured Modeling and Learning, James Atwood, Computer Science PDF Spreadsheet Tools for Data Analysts, Daniel W.Barowy, Computer Science PDF Deep Energy-Based Models for Structured Prediction, David Belanger, Computer Science PDF Graph Construction for Manifold Discovery, CJ Carey, Computer Science PDF Automatic Derivation of Requirements for Components Used in Human-Intensive Systems, Heather Conboy, Computer Science PDF DESIGN, ANALYSIS AND OPTIMIZATION OF CACHE SYSTEMS, Mostafa Dehghan Shirehpaz, Computer Science PDF Controversy Analysis and Detection, Shiri Dori-Hacohen, Computer Science PDF DEEP-LEARNED GENERATIVE REPRESENTATIONS OF 3D SHAPE FAMILIES, Haibin Huang, Computer Science PDF On Leveraging Multi-Path Transport in Mobile Networks, Yeon-sup Lim, Computer Science PDF Inference in Networking Systems with Designed Measurements, Chang Liu, Computer Science PDF Style-driven Shape Analysis and Synthesis, Zhaoliang Lun, Computer Science PDF Temporal and Relational Models for Causality: Representation and Learning, Katerina Marazopoulou, Computer Science PDF The Complexity of Resilience, Cibele Matos Freire, Computer Science PDF Knowledge Representation and Reasoning with Deep Neural Networks, Arvind Ramanathan Neelakantan, Computer Science PDF Belief-Space Planning for Resourceful Manipulation and Mobility, Dirk Ruiken, Computer Science PDF Database Usability Enhancement in Data Exploration, Yue Wang, Computer Science PDF HIGH-PERFORMANCE COMPLEX EVENT PROCESSING FOR DECISION ANALYTICS, Haopeng Zhang, Computer Science PDF Effective Performance Analysis and Debugging, Charles M.The Master of Science degree provides a solid foundation in computer science while still offering flexibility to meet the needs and interests of individual students.The MS Thesis option requires 30 credits of course work of which typically 21 credits must derive from graded courses.The CS Department also requires students to take a minimum number of instances of CS5944 Graduate Seminar.Students entering the program in Summer 2019 or after must do the following.