Software Engineering MPS Courses Available for Non-major Students

• SENG 601, Ethics in Software Engineering: Two sections available. A tailored ethics course on the impact of software and software engineering practices.
  
• SENG 636, Structured Systems Analysis and Design: Two sections available. A classic and popular course on learning the fundamentals of systems analysis and design.
  
• SENG 638, Software Process Management: A fresh approach to effective software process management. We demystify Agile, Scrum, and RUP among others.
  
• SENG 645, Advanced Software Engineering: The crown jewel of the software engineering program with the latest from the field and a grounding from the Software Engineering Body of Knowledge, SWEBOK.
  
• SENG 691, Special Topics in Software Engineering: 3 sections available, two are being offered for the first time. This is a special topics course covering emerging techniques from industry practice and software engineering research.
  
• Data Intensive Applications: this course covers how to design, build, and deploy large scale data-intensive applications.
• ***New Topic*** Time Series Databases: This course covers the latest in time series and real-time databases and how to build, design, and deploy software systems that require this capability.
• ***New Topic*** Reading to Write Code: This course covers "program comprehension" and draws on techniques and tools from the international conference on program comprehension (ICPC) co-located with the international conference on software engineering (ICSE). We will be using large scale open-source software systems as case studies.
• SENG 740: Fundamentals of Software Testing: Two sections available. A popular course on software testing taught by an expert in the field.

CodePath is a nonprofit organization committed to bringing together employers, students, and colleges to eliminate inequities in tech education and diversify the field by offering no-cost, quality tech education to underrepresented students.

Applications are open for CodePath Spring 2024 Courses -- Apply Now!

• Web Development: Dive into full-stack development, starting with website structuring and styling, then progressing to interactive elements and personalized user experiences.

• Cybersecurity: A no-cost course covering real-world tools and attacks, foundational cybersecurity knowledge, and advanced blue team security techniques for threat detection and response.

• iOS Development: Develop iOS applications using Xcode and Swift. This course guides you through user interface design, integrating logic, and cloud-based APIs to create custom apps.

• Android Development: Learn Android app development basics, including IDEs, languages, and tools. You'll create single-page apps with various functionalities.

• Technical Interview Prep: Prepare for technical interviews with an overview of software engineering topics and training in solving complex algorithmic problems, ideal for internship or full-time job seekers.

Why Choose CodePath?

• No-cost to all students

• Project-based learning to supplement fundamentals and theory

• Participating students gain access to CodePath's career services

• Exclusive opportunity to present at CodePath Demo Day in front of peers, faculty, and industry leaders

• Past judges and alumni have included Steve Huffman (Reddit CEO & Co-Founder), Alan McConnel (Head of Live Engineering at Instagram), Tina Schuchman (Director of Engineering at Facebook), and other industry leaders

The deadline to apply is February 4th, 2024 at 11:59 PM PST.

• Watch a previous information session recording here.

Towards Democratizing AI: Scaling & Learning (Fair) Graph Representations in an Implementation Agnostic Fashion

12-1 pm ET, Tue. 30 January 2024, ITE 325b

Srinivasan Parthasarathy, Ohio State University

Recently there has been a surge of interest in designing graph embedding methods. Few, if any, can scale to a large-sized graph with millions of nodes due to both computational complexity and memory requirements. In this talk, I will present an approach to redress this limitation by introducing the MultI-Level Embedding (MILE) framework -- a generic methodology allowing con-temporary graph embedding methods to scale to large graphs. MILE repeatedly coarsens the graph into smaller ones using a hybrid matching technique to maintain the backbone structure of the graph. It then applies existing embedding methods on the coarsest graph and refines the embeddings to the original graph through a graph convolution neural network that it learns. Time permitting, I will then describe one of several natural extensions to MILE  -  in a distributed setting (DistMILE) to further improve the scalability of graph embedding or mechanisms -  to learn fair graph representations (FairMILE).  

The proposed MILE framework and variants (DistMILE, FairMILE), are agnostic to the underlying graph embedding techniques and can be applied to many existing graph embedding methods without modifying them and is agnostic to their implementation language. Experimental results on five large-scale datasets demonstrate that MILE significantly boosts the speed (order of magnitude) of graph embedding while generating embeddings of better quality, for the task of node classification. MILE can comfortably scale to a graph with 9 million nodes and 40 million edges, on which existing methods run out of memory or take too long to compute on a modern workstation. Our experiments demonstrate that DistMILE learns representations of similar quality with respect to other baselines while reducing the time of learning embeddings even further (up to 40 x speedup over MILE). FairMILE similarly learns fair representations of the data while reducing the time of learning embeddings.

Undergraduate or Graduate Research Assistant 

Description: seeking an undergraduate or graduate research assistant to work on a NASA funded project at the University of Maryland, Baltimore County.  Through this project, you will interact with organizations in the academic, government, and private sectors in South America, Spain, and Portugal, to assess their use of satellite data and other NASA assets. You will assist with 1) research to identify key organizations and experts 2) stakeholder interviews (conducted in Spanish) and survey data collection and analysis and 3) writing articles for magazines and peer-reviewed journals in English and Spanish.

Required

-       Undergraduate or graduate degree (or working towards a degree) in sociology, geography, social data science, public policy or related field.

-       Native Spanish fluency, both oral and written

Preferred

-       Experience with survey and interview data analysis

-       Experience with quantitative and statistical data analysis

-       Lived, studied, or worked in Latin America and/or Spain.  

Time Commitment: 15-20 hours/week

For more information contact Ana Prados at aprados@umbc.edu or 703-338-2119

Please send CVs to aprados@umbc.edu