Courses tagged with talks
CSCI 2980: Applications Seminar (1) talks
Study and analysis of current computer applications, current computer hardware and computer‑related careers. Corequisite: CSCI 1301 or CSCI 2060. (Augusta)
CSCI 4980: Computer Science Seminar (12) talks
To expose the students to current areas of computer research and advanced topics in computer science, such as artificial intelligence, nonprocedural languages, CASE tools and software engineering, parallel computing, computer modeling and expert systems. (Augusta)
CSI 4010: Undergraduate Research Seminar (0) talks
Introduction of computer science research opportunities to interested computer science undergraduates. (Baylor)
CS 9: Introduction to Computer Science Research (1) talks
This course will introduce students to research areas in CS through weekly overview talks by Caltech faculty and aimed at first-year undergraduates. More senior students may wish to take the course to gain an understanding of the scope of research in computer science. Graded pass/fail. (Caltech)
CS 19: Introduction to Computer Science in Industry (2) talks
This course will introduce students to CS in industry through weekly overview talks by alums and engineers in industry. It is aimed at first and second year undergraduates. Others may wish to take the course to gain an understanding of the scope of computer science in industry. Additionally students will complete short weekly assignments aimed at preparing them for interactions with industry. Graded pass/fail. Part b not offered 2023-24. (Caltech)
CS 102 abc: Seminar in Computer Science (39) talks
Instructor's permission required. (Caltech)
CS 294: CS Tea Colloquium (1) talks
Students earn credit by attending at least five of the research-based events in the Computer Science department’s weekly colloquium series. Speakers come from academia, industry, nonprofits, and government, and present on a variety of topics, within and adjacent to computer science. Students will submit brief written reports after each talk that they attend. (Carleton)
15-300: SEE 07-300 Research and Innovation in Computer Science (9) talks
This Fall course is the first part of a two-course sequence that is designed to help prepare students to invent the future state-of-the-art in the field of computer science. Course topics will include the following: an overview of important things to know about how research and innovation works in the field of computer science; a survey of the current cutting- edge of computer science research, both here at Carnegie Mellon and elsewhere; critical thinking skills when reading research publications that disagree with each other; strategies for coping with open-ended problems; and technical communication skills for computer scientists. Students will also match up with a faculty mentor for a potential Technology Innovation Project (to be performed in the Spring), put together a detailed plan of attack for that project, and start to get up to speed (including background reading, etc.). This course can be used to satisfy the Technical Communications requirement for the CS major. (CMU)
CP228: Computer Science Seminar (0.5) talks
Students will meet regularly during the semester in order to learn about topics in computer science. Students may take the course more than once, but at most two times for credit (in different years). Pass/Fail grade only. (Colorado)
COMS W1404: Emerging Scholars Prog Seminar (1) talks
Peer-led weekly seminar intended for first and second year undergraduates considering a major in Computer Science. Pass/fail only. (Columbia)
COMPSCI 2901: Seminar on Effective Research Practices and Academic Culture (4) talks
This is a reading and discussion-based seminar designed for entering Computer Science Ph.D. students. This course prepares students to manage the difficult and often undiscussed challenges of Ph.D. programs through sessions on research skill building (e.g. paper reading, communication), soft skill building (e.g. managing advising relationships, supporting your peers), and academic culture (e.g. mental health in academia, power dynamics in scientific communities), as well as research and professional-oriented discussions. This is a full-year, 4-unit course, meeting once a week in each of the fall and the spring. Students must complete both terms of this course (COMPSCI 2901 and COMPSCI 2902) within the same academic year to receive credit. (Harvard)
COMPSCI 2902: Seminar on Effective Research Practices and Academic Culture (4) talks
This is a reading and discussion-based seminar designed for entering Computer Science Ph.D. students. This course prepares students to manage the difficult and often undiscussed challenges of Ph.D. programs through sessions on research skill building (e.g. paper reading, communication), soft skill building (e.g. managing advising relationships, supporting your peers), and academic culture (e.g. mental health in academia, power dynamics in scientific communities), as well as research and professional-oriented discussions. This is a full-year, 4-unit course, meeting once a week in each of the fall and the spring. Students must complete both terms of this course (COMPSCI 2901 and COMPSCI 2902) within the same academic year to receive credit. (Harvard)
CS 4950: Computer Science Research Seminar (1) talks
Offers students an in-depth look at research in a particular subarea of computer science, information science, data science, or cybersecurity. The particular subarea varies from semester to semester. Exposes students to current research topics, often via guest faculty members. Offers students an opportunity to practice reading and discussing scientific literature, presenting scientific work, and distilling the key ideas and contributions of papers through required weekly paper summaries. (Northeastern)
CSCI 188: Computer Science Colloquium (0) talks
Colloquium presentations and discussions of topics in computer science and closely related disciplines. For junior Computer Science majors only. (Pomona)
CS 19700: Freshman Honors Seminar (1) talks
A seminar dealing with the history, context, and future of computer science. Open only to students in the Computer Sciences Honors Program. The credit may be used only toward free electives. (Purdue)
CS 39700: Honors Seminar (0) talks
A seminar for all sophomores, juniors, and seniors in the Computer Sciences Honors Program. Meets eight times each semester under the supervision of the Honors coordinator. The meetings focus on honors research projects, helping students to identify appropriate projects and form groups, and providing a forum for juniors and seniors to report on their projects as required in the honors program. (Purdue)
COMP 496: Rtg Cross-Training in Data Sci (1) talks
A seminar course to introduce students to topics in Data Science at the interface between Statistics and Computer Science. Students participate in the process of preparing, delivering and critiquing talks. Topics change each semester. (Rice)
CSSE 145: Cybersecurity Seminar (2) talks
This course provides exposure to leading-edge industrial and academic experts in Cybersecurity and Digital Privacy. Topics including the societal, economic, scientific, and psychological impacts of modern areas of cybersecurity and privacy are examined from both practical and theoretical points of view. Students in this class will attend live and view remote or recorded talks from industry/academic experts, read emergent papers on Cybersecurity and Digital Privacy, participate in discussions or debate about the topics, and reflect on the impacts these topics have on their major area of study. May be repeated for credit with approval from the course instructor when topics are different. (Rose-Hulman)
CSSE 400: CSSE Seminar (4) talks
This course presents an overview of current application areas within computer science and software engineering through the use of practical case studies. Students will undertake their own preparation of one or more case studies and present their results. This course is taught as part of the International Computer Science dual degree program at Hochschule Ulm, Germany. (Rose-Hulman)
CS 300: Departmental Lecture Series (1) talks
Priority given to first-year Computer Science Ph.D. students. CS Masters students admitted if space is available. Presentations by members of the department faculty, each describing informally his or her current research interests and views of computer science as a whole. (Stanford)
CS 498C: Introduction to CSCL: Computer-Supported Collaborative Learning (3) talks
This seminar introduces students to foundational concepts and research on computer-supported collaborative learning (CSCL). It is designed for LSTD doctoral students, LDT masters' students, other GSE graduate students and advanced undergraduates inquiring about theory, research and design of CSCL. CSCL is defined as a triadic structure of collaboration mediated by a computational artefact (participant-artifact-participant). CSCL encompasses two individuals performing a task together in a short time, small or class-sized groups, and students following the same course, digitally interacting. (Stanford)
CS 521: Seminar on AI Safety (1) talks
In this seminar, we will focus on the challenges in the design of safe and verified AI-based systems. We will explore some of the major problems in this area from the viewpoint of industry and academia. We plan to have a weekly seminar speaker to discuss issues such as verification of AI systems, reward misalignment and hacking, secure and attack-resilient AI systems, diagnosis and repair, issues regarding policy and ethics, as well as the implications of AI safety in automotive industry. (Stanford)
CS 522: Seminar in Artificial Intelligence in Healthcare (1) talks
Artificial intelligence is poised to make radical changes in healthcare, transforming areas such as diagnosis, genomics, surgical robotics, and drug discovery. In the coming years, artificial intelligence has the potential to lower healthcare costs, identify more effective treatments, and facilitate prevention and early detection of diseases. This class is a seminar series featuring prominent researchers, physicians, entrepreneurs, and venture capitalists, all sharing their thoughts on the future of healthcare. We highly encourage students of all backgrounds to enroll (no AI/healthcare background necessary). (Stanford)
CS 523: Research Seminar in Computer Vision + X (12) talks
With advances in deep learning, computer vision (CV) has been transforming all sorts of domains, including healthcare, human-computer interaction, transportation, art, sustainability, and so much more. In this seminar, we investigate its far-reaching applications, with a different theme chosen as the focus each quarter (e.g. the inaugural quarter was CV + Healthcare; the theme for the quarter will be listed on the class syllabus). Throughout the quarter, we deeply examine these themes in CV + X research through weekly intimate discussions with researchers from academia and industry labs who conduct research at the center of CV and other domains. Each week, students will read and prepare questions and reflections on an assigned paper authored by that week's speaker. We highly encourage students who are interested in taking an interactive, deep dive into CV research literature to apply. (Stanford)
CS 528: Machine Learning Systems Seminar (13) talks
Machine learning is driving exciting changes and progress in computing systems. What does the ubiquity of machine learning mean for how people build and deploy systems and applications? What challenges does industry face when deploying machine learning systems in the real world, and how can new system designs meet those challenges? In this weekly talk series, we will invite speakers working at the frontier of machine learning systems, and focus on how machine learning changes the modern programming stack. Topics will include programming models for ML, infrastructure to support ML applications such as ML Platforms, debugging, parallel computing, and hardware for ML. May be repeated for credit. (Stanford)
CS 529: Robotics and Autonomous Systems Seminar (AA 289) (199) talks
Seminar talks by researchers and industry professionals on topics related to modern robotics and autonomous systems. Broadly, talks will cover robotic design, perception and navigation, planning and control, and learning for complex robotic systems. May be repeated for credit. (Stanford)
CSCE 181: Introduction to Computing (1) talks
Introduction to the broad field of computing; presentations from industry and academia about how computer science concepts are used in research and end products; includes a major writing component. (Texas A&M)
CSCE 481: Seminar (1) talks
Investigation and report by students on topics of current interest in computer science. (Texas A&M)
CSE 89: Introduction to Computer Science and Engineering Seminar (2) talks
A seminar format discussion led by CSE faculty on topics in central areas of computer science, concentrating on the relation among them, recent developments, and future directions. (UCSD)
CSE 90: Undergraduate Seminar (1) talks
A seminar providing an overview of a topic of current research interest to the instructor. The goal is to present a specialized topic in computer science and engineering students. May be taken for credit three times when topics vary. (UCSD)
CSE 91: Perspectives in Computer Science and Engineering (2) talks
A seminar format discussion led by CSE faculty on topics in central areas of computer science, concentrating on the relation among them, recent developments, and future directions. (UCSD)
CSE 193: Introduction to Computer Science Research (4) talks
Introduction to research in computer science. Topics include defining a CS research problem, finding and reading technical papers, oral communication, technical writing, and independent learning. (UCSD)
CS 407: Seminar: [Topic] (15) talks
Repeatable when the topic changes. Opportunity to study in greater depth specific topics arising out of other courses. (UO)
CSE 131R: Seminar: Computer Science I (1) talks
A seminar and discussion session that complements the material studied in CSE 131. Provides background and breadth for the disciplines of computer science and computer engineering. Features guest lectures and highly interactive discussions of diverse computer science topics. Highly recommended for majors and for any student seeking a broader view of computer science or computer engineering. (Washington U.)
CSE 132R: Seminar: Computer Science II (1) talks
This course is a seminar and discussion session that complements the material studied in CSE 132. It provides background and breadth for the disciplines of computer science and computer engineering, and it features guest lectures and highly interactive discussions of diverse computer science topics. Highly recommended for majors and for any student seeking a broader view of computer science or computer engineering. (Washington U.)
CSE 247R: Seminar: Data Structures and Algorithms (1) talks
The content of this seminar will vary by semester, but it will generally complement the material taught in CSE 247 Data Structures and Algorithms. (Washington U.)
CSE 433R: Seminar: Capture The Flag (CTF) Studio (1) talks
This course provides a collaborative studio space for hands-on practice solving security-relevant puzzles in 'Capture The Flag' (CTF) format. Students will engage CTF challenges individually and in teams, and online CTF resources requiring (free) account signup may be used. Students will be encouraged to attempt challenges commensurate with their ability, but no prior CTF experience or security knowledge is assumed. (Washington U.)