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-
- Description:
- We live in an increasingly computational world; one that, in the near term, may require everyone to be computationally literate. Computer science (CS) education has greatly increased its reach in the last two decades with an increasing number of students having access to formal computer science classroom experiences in the...
- Keyword:
- Pedagogy, Teacher practice, Computational thinking, and Science education
- Subject:
- Teacher education, Educational technology, and Computer science
- Creator:
- Bain, Connor
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/02/2022
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_834005 and http://dissertations.umi.com/northwestern:15654
-
- Description:
- The dissertation builds on my current research to demonstrate the connection between affect and learning through machine learning and qualitative analysis of interactions where players use a complex systems game. The project is threefold: First, I developed a thinking and learning intervention, the agent-based modeling simulation Ant Adaptation. I showed...
- Keyword:
- Informal Learning, Agent-Based Modeling, Affective Computing, Cognitive Science, Complexity, and Ants
- Subject:
- Entomology, Education, and Computer science
- Creator:
- Martin, Kit
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/02/2022
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15829 and etdadmin_upload_857063
-
- Description:
- Recent developments in deep learning have led to breakthroughs in rendering novel views from sparse input views of a scene.While the accuracy of these algorithms has improved dramatically, it has come at a huge computational cost. While developments in graphics hardware have ameliorated some of the computational burdens, deep learning-based...
- Keyword:
- Augmented Reality, deep learning, novel view, and view synthesis
- Subject:
- Computer engineering and Computer science
- Creator:
- Ghosh, Sushobhan
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 10/07/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_834671 and http://dissertations.umi.com/northwestern:15657
-
- Description:
- This thesis studies Bayesian-robustness of algorithm design. The main perspective requires for a single fixed algorithm that its performance is an approximation of the optimal performance when its inputs are independent and identical draws (i.i.d.) from every unknown distribution which is an element of a known, large class of distributions....
- Keyword:
- prior independent algorithms, benchmark design, lower bounds, and mechanism design
- Subject:
- Computer science
- Creator:
- Johnsen, Aleck
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 10/07/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_845328 and http://dissertations.umi.com/northwestern:15766
-
- Description:
- In this thesis, we aim to develop efficient algorithms with theoretical guarantees for noisy nonlinear optimization problems, with and without constraints, under various different assumptions. Apart from Chapter 1 which provides relevant backgrounds, the remaining of thesis is divided into four chapters. In Chapter 2, we establish the theoretical convergence...
- Keyword:
- LBFGS, BFGS, noisy optimization, nonlinear optimization, quasi-Newton, and derivative-free optimization
- Subject:
- Industrial engineering and Computer science
- Creator:
- Xie, Yuchen
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 10/07/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_844865 and http://dissertations.umi.com/northwestern:15749
-
- Description:
- Over the past decade as smartphones and wearable tracking devices have grown in popularity, more individuals have begun collecting their own health and behavioral data. Innovations in sensor technology now allow individuals to continuously collect data over long periods of time with minimal effort. As a result, more data has...
- Keyword:
- patient-generated data, human-computer interaction, mental health, personal informatics, human-data interaction, and self-tracking
- Subject:
- Computer science and Communication
- Creator:
- Ng, Ada
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 10/07/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_840621 and http://dissertations.umi.com/northwestern:15690
-
- Description:
- This research looks at the robotic shape formation problem, which is one of the fundamental problems in robotic swarm systems. Here, the task is to move a group of robots to form a user-specified shape. In this dissertation, the task of shape formation is divided to four problems: (i) using...
- Keyword:
- algorithms, swarm systems, scheduling and planning, sensor networks, and distributed systems
- Subject:
- Robotics, Computer engineering, and Computer science
- Creator:
- wang, hanlin
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 10/07/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15732 and etdadmin_upload_844241
-
- Description:
- Manufacturing processes are known for their intricacies in changing material shapes and properties. New generations of manufacturing technologies, known as flexible manufacturing, are moving toward design freedom, which allows producing parts with optimized geometries and high customizations at an affordable cost even for low-volume productions. Two prominent flexible manufacturing processes...
- Keyword:
- Neural Network, Reinforcement Learning, Manufacturing, Additive Manufacturing, and Artificial Intelligence
- Subject:
- Computational physics, Mechanical engineering, and Computer science
- Creator:
- Mozaffar, Mojtaba
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 10/07/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15685 and etdadmin_upload_839531
-
- Description:
- Human language processing is incremental. In this dissertation, I explore how an incremental perspective can help us clarify our understanding of transformational syntax, which typically proceeds bottom-up. As part of our exploration, I develop an incremental head-driven parsing algorithm for Minimalist Grammars. The two main innovations of this parsing algorithm...
- Keyword:
- semantics, minimalist grammars, incremental, parsing, movement chains, and syntax
- Subject:
- Logic, Linguistics, and Computer science
- Creator:
- Baumann, Peter
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 10/06/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_843180 and http://dissertations.umi.com/northwestern:15711
-
- Description:
- Security and robustness are two critical problems in modern computing system. In this disserta- tion, we study these two problems in both hardware system and learning system.Firstly, we discuss the robustness problem in hardware system. Modern microprocessors suffer from significant on-chip variation at the advanced technology nodes. The development of...
- Keyword:
- Federated Learning, Robustness, Security, Noisy Traning, Circuit Sythesis, and Formal Verfication
- Subject:
- Computer engineering and Computer science
- Creator:
- Kong, Shuyu N/A
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 10/06/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15770 and etdadmin_upload_845378
-
- Description:
- From cyber theft of personal financial information to Advanced Persistent Threat (APT) attacks, nowadays endpoint devices suffer from various intrusions which cause inestimable property and privacy loss. To protect the security on endpoints, endpoint detection and response (EDR) systems have been developed to serve as the powerful solution against those...
- Keyword:
- Computer System, System Security, Graph-based Low-level Event Analysis, and Endpoint Detection and Response
- Subject:
- Computer science
- Creator:
- Chen, Xutong
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/28/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_817664 and http://dissertations.umi.com/northwestern:15548
-
- Description:
- Motivated by real-world problems in various fields, mechanism design governs the design of protocols for strategic agents and has applications both in computer science and economics. Due to the revelation principle – a seminal observation in mechanism design, a vast number of studies in mechanism design focus on revelation mechanisms...
- Keyword:
- revenue maximization, welfare maximization, revelation gap, algorithmic game theory, and mechanism design
- Subject:
- Computer science
- Creator:
- Feng, Yiding
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/28/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15585 and etdadmin_upload_819709
-
- Description:
- Cardiovascular disease is the leading cause of death in US and non-invasive cardiac imaging has vital importance for early detection and diagnosis of heart disease. Cardiac Magnetic Resonance (CMR) is arguably the most versatile imaging modality and capable of a comprehensive evaluation of heart disease without ionization radiation. Despite the...
- Keyword:
- Cardiovascular MRI, Deep learning, Magnetic Resonance Imaging , Image segmentation, Compressed Sensing, and Image reconstruction
- Subject:
- Artificial intelligence, Medical imaging, and Computer science
- Creator:
- Shen, Daming
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/28/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15537 and etdadmin_upload_816372
-
- Description:
- When first-year students begin college they are thrown into a new environment where they are expected to simultaneously perform academically, form new relationships, and become independent. Many students struggle with this transition; experiences of stress, anxiety, and depression are common. For the majority of residential college students this is their...
- Subject:
- Computer science and Communication
- Creator:
- Smith, Madeline E
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/28/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15524 and etdadmin_upload_814670
-
- Description:
- Location-aware technologies, such as personal navigation applications, location-based AR games, and artificial intelligence systems that learn from data about places, increasingly mediate our understanding of and interactions with the world. However, a number of risks associated with location-aware technologies have emerged, jeopardizing the welfare of its users. This dissertation seeks...
- Keyword:
- Location-aware technologies, Geographic inequalities, and Human-centered AI
- Subject:
- Geographic information science and geodesy and Computer science
- Creator:
- Lin, Yilun
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/28/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15521 and etdadmin_upload_814332
-
- Description:
- Data Science and related fields like Artificial Intelligence, Machine Learning, and Statistics provide indispensable research methods for understanding a wide variety of phenomena from large datasets. However, as methodical and empirical as these methods aim to be, there are many subjective and discretionary choices that the data scientist must make...
- Keyword:
- human computation, inter-annotator agreement, algorithmic bias, content moderation, and Machine Learning
- Subject:
- Information science, Artificial intelligence, and Computer science
- Creator:
- Cambo, Scott Allen
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/28/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_810456 and http://dissertations.umi.com/northwestern:15510
-
- Description:
- Our experience of the physical world is mediated by our senses, but while most people have five senses, interactions with computer systems are largely limited to the visual sense. When working with nonvisual artifacts, like sound, on computers, such artifacts are typically transformed, or re-encoded, into something visual. Determining how...
- Keyword:
- HCI, user intreface, mixing, sound, visualization, and audio
- Subject:
- Information science, Computer science, and Communication
- Creator:
- Liebman, Noah
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 04/15/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15448 and etdadmin_upload_792114
-
- Description:
- In conventional data federations, a set of data providers each possess an autonomous database and collectively make the union of these databases available for querying by a client from a unified SQL interface. This setting however, provides no guarantees on data privacy or security. With my work, I consider a...
- Subject:
- Computer science
- Creator:
- Bater, Johes
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_764150 and http://dissertations.umi.com/northwestern:15258
-
- Description:
- This dissertation asks how researchers can create more equitable algorithmic systems. Ultimately, this thesis explores methods and implications of representing subjects of analysis in the design and evaluation of algorithmic systems. I also unpack how algorithmic tools measure and quantify human behavior, giving heed to the potential impacts of these...
- Keyword:
- algorithms, machine learning, human-computer interaction, social discrimination, age discrimination, and algorithmic fairness
- Subject:
- Information science, Social research, and Computer science
- Creator:
- Díaz, Mark
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_762101 and http://dissertations.umi.com/northwestern:15226
-
- Description:
- Computational imaging (CI) is a class of imaging systems that optimize both the opto-electronic hardware and computing software to achieve task-specific improvements. Machine/deep learning models have proven effective in drawing statistical priors from adequate datasets. Yet when designing computational models for CI problems, physics-based models derived from the image formation...
- Keyword:
- computational imaging, machine learning, event-based vision, and holographic 3D display
- Subject:
- Optics and Computer science
- Creator:
- Wang, Zihao
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_763327 and http://dissertations.umi.com/northwestern:15240