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Course Type: Session 3 - July 28 - August 9 2024

Creative writing is a process of exploration and discovery. This creative writing workshop offers an intensive opportunity for eager and motivated students to investigate ideas and reflect on their experiences. Students will be challenged in both fiction and nonfiction, through short stories, nonfiction narratives, and personal essays, to produce work that will be critiqued by the professor with the aims of developing their skills in written expression and creating tools for critical evaluation of their writing.

Instructors: Barbara Kreiger

2-Week Course for Summer Scholars 2024

Dates Available: 

Session 3 - July 28 - August 9 2024

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Overview

Creative writing is a process of exploration and discovery. This creative writing workshop offers an intensive opportunity for eager and motivated students to investigate ideas and reflect on their experiences. Students will be challenged in both fiction and nonfiction, through short stories, nonfiction narratives, and personal essays, to produce work that will be critiqued by the professor with the aims of developing their skills in written expression and creating tools for critical evaluation of their writing. Students’ work will also be shared with the class in small groups, where methods for constructive criticism will be developed and applied. In the writing workshops, personal attention will be given to each student. In addition, we’ll read excerpts from exemplary writers, and guest speakers will talk to us about their own development. The aim is to become more insightful writers, more perceptive readers, and more confident students.

Learning Outcomes

Upon completing this course, students will:

Greater motivation and confidence about writing and greater enjoyment

Greater understanding of the skills needed to improve and develop no matter what the level of achievement and ambition

Commitment to keep challenging themselves

Deeper appreciation for the writing process and openness to what others write.

Pre-requisite

None (except for enthusiasm)

Instructor Biography

Barbara Kreiger, Ph.D., has been teaching writing at Dartmouth for over forty years. She is an Adjunct Associate Professor and Chair of the Creative Writing Concentration in the Master of Arts in Liberal Studies program at Dartmouth College. She also taught memoir for several years at Dartmouth’s Alumni College. She received her Ph.D. in English from Brandeis University and is the author of The Dead Sea and the Jordan River (3rd edition) and Divine Expectations: An American Woman in Nineteenth-Century Palestine. She has written introductions for new editions of travel classics, and her work has appeared in The New York Times and The Boston Globe and was featured on the cover of the Smithsonian magazine. In 2004-2005, she was the recipient of a Fulbright Award in Rome, where she taught creative writing, and later was appointed to the Fulbright Specialist roster. She was subsequently invited to teach in Naples, Italy. In 2014, CNN invited her to participate in a documentary on the Dead Sea and the Jordan River.

Whether students are experienced writers or beginners, international students, or native speakers of English, she believes that all of them are engaged in the same process as they begin or continue to write and become increasingly alert to the possibilities for self-expression.

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This two-week experiential course is ideal for high school students interested in building business skills and becoming conversant in the language of business. Built around a real-life company valuation project, the course is for students interested in learning and applying concepts from key areas such as economics, finance, marketing, strategy, and accounting.

Instructor: Patroklos Karantinos

2-Week Course for Summer Scholars 2024

Dates Available: 

Session 1 - June 30 - July 12 2024,

Session 2 - July 14 - July 26 2024,

Session 3 - July 28 - August 9 2024

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Overview

This two-week experiential course is ideal for high school students interested in building business skills and becoming conversant in the language of business. Built around a real-life company valuation project, the course is for students interested in learning and applying concepts from key areas such as economics, finance, marketing, strategy, and accounting.

In addition to instruction and discussion of real-life case studies, the hands-on valuation project is at epicenter of the course. The project work takes place in smaller teams, thus modeling the teamwork aspect of the modern workplace, and providing the students the opportunity to build or enhance collaboration and leadership skills.

Through the valuation project, we will explore how companies think about clients and customers, how they make money and finance themselves, how they think about competition, innovation, and new projects, and how those decisions affect their value. The project culminates with a presentation of project findings and analyses.

And we will also consider how some of the concepts and methodologies used in business apply to our daily lives and decision-making.

Learning Outcomes

Upon completing this course, students will:

  1. Have a solid grasp of concepts in areas such as economics, finance, strategy, and accounting.
  2. Be conversant in the ways businesses evaluate and make decisions about new projects.
  3. Understand the effects of compounding, (financial) leverage, and risk on expected returns.
  4. Be able to apply financial analysis methodologies to issues of personal finance.
  5. Be able to discuss the differences between breakthrough and disruptive innovation and identify relevant opportunities.
  6. Have experience practicing teamwork and collaboration on a real-life problem.
  7. Feel more confident about creating and delivering persuasive presentations.
  8. Have a view of potential career areas in business.

Pre-requisite

It is recommended, but not required that scholars bring a device that can access the internet such as a laptop or tablet, and have access to spreadsheet software such as Excel or Google Docs.

Instructor Biography

Patroklos grew up in Greece, where he received undergraduate and graduate degrees in finance. He spent five years in corporate finance and M&A advisory, during which he became a CFA charterholder. In 2012, he graduated with an MBA from The Tuck School of Business at Dartmouth. After Tuck, Patroklos worked for eight years in higher education – including five years at the Tuck School of Business - focusing on institutional strategy and growth, and in public sector consulting. Outside of work, he enjoys doodling. For more information about Patroklos, find him on LinkedIn.

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This two-week Bootcamp is designed to introduce high school students to this critical and burgeoning field. Our program emphasizes the dual importance of quantitative analysis and qualitative interpretation in understanding and leveraging data.

Instructors: Carly Bobak, PhD, and Christian Darabos, PhD

2-Week Course for Summer Scholars 2024

Dates Available: 

Session 1 - June 30 - July 12 2024,

Session 3 - July 28 - August 9 2024

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OVERVIEW

"The world cannot be understood without numbers. But the world cannot be understood with numbers alone." - Hans Rosling, Factfulness (2018)

Data Science, a multidisciplinary field blending data inference, algorithm development, and technology, stands at the forefront of transforming raw data into meaningful insights and innovations. At its core, data science involves extracting knowledge and insights from structured and unstructured data using methods rooted in statistics, machine learning, and data analysis. This field is pivotal in today's information age, driving decision-making in industries ranging from healthcare to finance and influencing societal advancements at an unprecedented scale.

This two-week Data Science Bootcamp is designed to introduce high school students to this critical and burgeoning field. Our program emphasizes the dual importance of quantitative analysis and qualitative interpretation in understanding and leveraging data. Beginning with Python programming fundamentals, a cornerstone in the data science toolkit, the curriculum advances through vital concepts such as data structures, manipulation, and exploratory data analysis (EDA). A special focus on Natural Language Processing (NLP) underscores the interdisciplinary nature of data science, integrating computational methods with linguistic insights.

The bootcamp's structure intertwines theoretical understanding with practical application, ensuring that students learn the mechanics of data science and   develop a critical, data-driven mindset. From engaging in hands-on projects to delving into real-world datasets, participants will acquire the skills to convert data into compelling stories and actionable intelligence. This program is not just a technical journey; it's a gateway into the expansive world of data science, where machine learning, artificial intelligence, and big data are pivotal tools in shaping our future.

In this immersive Data Science Bootcamp, students will embark on an enriching educational journey marked by a blend of individual challenges and collaborative exploration.

Real-World Application: Each day, students will engage in meticulously designed exercises that reflect real-world research scenarios. These activities are crafted to reinforce core data science concepts and demonstrate their practical application in various fields.

Core Concept Mastery: From understanding the nuances of Python programming to grasping complex data structures, students will systematically master the fundamental pillars of data science. This structured approach ensures a comprehensive grasp of essential topics.

Guided Group Project: Participants will have the unique opportunity to contribute to a group data science project. This project serves as a capstone experience, allowing students to apply their learning in a collaborative, realistic setting.

Expert Instruction: Leading the sessions are doctoral data scientists who bring a wealth of knowledge and real-world experience. Their hands-on instruction is not just about imparting technical know-how; it's about mentoring future data scientists in the art and science of extracting meaning from data.

Collaborative Learning Environment: The bootcamp fosters a supportive and interactive learning environment. Students will learn not only   from experts but also from each other through group discussions, project collaborations, and peer-to-peer interactions.

This blend of theoretical learning, practical exercises, and expert guidance is designed to provide students with a holistic understanding of data science and its impactful applications in the modern world.

LEARNING OUTCOMES

Upon completing this course, students will:

  1. Proficiency in Python for Data Science: Students will gain hands-on experience in Python, focusing on its application in data science. This includes understanding data structures, libraries like Pandas and NumPy, and utilizing Python for data manipulation and analysis.
  2. Fundamentals of Data Analysis and Visualization: Participants will learn to perform exploratory data analysis (EDA), interpret data through statistical methods, and create meaningful visualizations using tools like Matplotlib and Seaborn. This outcome ensures students can derive insights from data and effectively communicate them.
  3. Introduction to Natural Language Processing (NLP): Students will be introduced to the basics of NLP, learning to process and analyze text data. Skills acquired will include text manipulation, sentiment analysis, and creating visual representations like word clouds.
  4. Execution of Data Science: Throughout this course, students will consistently work towards exercises on a dataset that align with each day’s topic. These exercises serve as a daily treasure hunt revealing more and more about the data set as each day passes. In totality, all exercises serve as a project where students will have the opportunity to reflect on their discoveries at the end of the course. 
  5. Critical Thinking and Problem-Solving in Data Science: Participants will develop critical thinking skills specific to data science, learning to approach problems analytically, question assumptions, and interpret results within context. This outcome is essential for applying data science skills in real-world scenarios.

PREREQUISITES

  • High school-level STEM knowledge, especially mathematics
  • Proficient English communication skills, both written and verbal
  • A large-screen WIFI capable device with a full keyboard such as:
    • a laptop computer (Windows PC, Mac, or Linux)
    • a large-screen tablet with an external keyboard and mouse/trackpad

Biographies

Carly Bobak, PhD, serves as a Biomedical Informatics Scientist within the Research Computing and Data Services team at Dartmouth College's Information, Technology, and Consulting department. With her PhD in Quantitative Biomedical Sciences from Dartmouth, Dr. Bobak plays a pivotal role in bridging data science with biomedical research. Her responsibilities include collaborating with faculty across various disciplines, addressing their data science needs, and leading workshops in areas like basic programming, data visualization, and generalized AI.

In addition to her role in research computing, Dr. Bobak contributes to academia as an instructor for Dartmouth's QBS program, teaching courses such as Data Wrangling and previously Foundations of Data Science. Her active research interests match her expertise and passion for teaching in developing diagnostic biomarkers for tuberculosis through innovative multi-cohort, multi-omics approaches. This blend of educational, research, and practical application positions Dr. Bobak as a key figure in advancing data science within Dartmouth's academic and research communities.

Christian Darabos, Ph.D., is the Senior Director for Research Computing and Data Services at Dartmouth College. He holds a double PhD degree in Business Information Systems and Molecular Biotechnologies from Switzerland and Italy. Christian leads a team of over 20+ IT professionals, software engineers, domain experts (STEM, GenAI/AI/ML, Data Science, GIS), and facilitators who provide comprehensive support and services covering the campus' research community computational needs. This includes high-performance and cloud computing, data storage, grant support, software licensing, security and privacy compliance for sensitive data computing and storage, and custom software solutions developments.
Christian also serves as a faculty lecturer in the Quantitative Biomedical Sciences program at the Geisel School of Medicine, where he teaches a graduate-level course and co-leads computational seminar series on Reproducible Research. His current research interests include data science, biomedical informatics, machine learning, generative AI, reproducible research best practices, and automation.

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The Summer Scholars Entrepreneurship camp will be an immersive, hands-on program that builds on Dartmouth’s strong liberal arts foundation to expose students to the Art of Entrepreneurship. Students will be guided through the new venture journey - from opportunity recognition to solution creation and business model formulation - across many different types and scales of businesses.

Program Lead: Dartmouth College's Magnuson Center for Entrepreneurship

2-Week Course for Summer Scholars 2024

Dates Available: 

Session 1 - June 30 - July 12 2024,

Session 2 - July 14 - July 26 2024,

Session 3 - July 28 - August 9 2024

Apply Now

Overview

The Summer Scholars Entrepreneurship camp will be an immersive, hands-on program that builds on Dartmouth’s strong liberal arts foundation to expose students to the Art of Entrepreneurship. Students will be guided through the new venture journey - from opportunity recognition to solution creation and business model formulation - across many different types and scales of businesses. Borrowing from their current real-life experiences, students will learn the shared elements that underpin all entrepreneurial endeavors whether applied to social media influencers, local retail businesses, non-profit enterprises, or venture-scale startups.

Unlike alternatives, which pull only from traditional business teachings, Summer Scholars will bring a unique cross-section of perspectives from across the arts and sciences to teach students how innovation can be sparked by integrating existing ideas in new ways.

The first week of the program will be instructional content, supported by case discussions and guest speakers, and the second week will focus on applying the learnings - including a rapid-business challenge and culminating pitch contest.

The instructional content will mimic that of a traditional investor pitch deck, allowing students to continually integrate their learning along a clear storyline.

Objectives

By the end of the course, students will:

  1. Possess a deeper understanding of how to develop a “lens” for opportunity recognition in their daily lives and continued pursuits
  2. Possess a foundational understanding and framework to develop and evaluate entrepreneurial ideas and their viability
  3. Understand the most critical concepts which are necessary to operate a business and solicit the appropriate investment and support
  4. Be able to articulate and understand the importance of “failing well” and appreciate that entrepreneurship is a continual process rather than a destination
  5. Developed deep connections with their peers in recognizing the necessity of a strong support network when pursuing entrepreneurial endeavors

Draft Instructional Content Schedule

Days 1-5 - Creativity Bootcamp

  1. Introduction to the “Entrepreneurial Mindset”, intelligent failure, and the business model canvas
  2. Problem and opportunity recognition
  3. Solution formation
  4. Customer identification and ideal customer profile development
  5. Business model research and matching
  6. Go-to-market strategies and application
  7. Competitive research and assessment
  8. Funding, fundraising and business structures
  9. Solution formation revisited
  10. Mastering the pitch

Day 6-9 - Fast-track to Failing Well

  1. Field exercise on customer research and testing
  2. Two-day “start-up sprint” that culminates in a pitch contest

Post-camp community

Borrowing from successful startup accelerator and incubator programs, Summer Scholars will create an alumni network and online forum for students who complete the program. Students will be encouraged to share updates on their entrepreneurial journeys, and seek collaboration and support from fellow summer scholars across cohorts. Over time, this will serve as a significant differentiator for the program and the value students can derive from it.

PRE-REQUISITE

Scholars are encouraged, but not required, to bring a device that can access the internet (mobile devices, laptops, tablets, etc.)

INSTRUCTOR BIOGRAPHY

The Magnuson Center for Entrepreneurship will be hosting a cohort of instructors.

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