Jung's Labyrinth Mac OS
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Description. This course is an introduction to computer science in the context of scientific, engineering, and commercial applications. The goal of the course is to teach basic principles and practical issues, while at the same time preparing students to use computers effectively for applications in computer science, physics, biology, chemistry, engineering, and other disciplines. Topics include: programming in Java; hardware and software systems; algorithms and data structures; fundamental principles of computation; and scientific computing, including simulation, optimization, and data analysis.
The idea that people—and thus, characters—fall into certain archetypes has been put forth by no less than Carl Jung, Joseph Campbell, and W.B. Yeats, among others. Stat growth information comes from the Touhou Labyrinth Japanese Wiki, and formula information from the database included with the Special Disk. Since this data is accurate for version 3.01, any older versions may have differences that are not accounted for. Therefore, please use with caution if playing older releases of Labyrinth of Touhou. Install it on your computer by following the instructions for your operating system: Mac OS X, Windows, or Linux. Ed Discussion is an online forum where you can ask and answer short questions.
Prerequisites. None.
Purchase a license key that is separate from the book directly from Labyrinth. Obtain a license key from your school, if your school has purchased license keys from Labyrinth. Windows 2000/XP/Vista or Mac OS 10.3 or higher; Pentium class CPU or better with 256MB. AirDrop is an ad-hoc service in Apple Inc.' S macOS and iOS operating systems, introduced in Mac OS X Lion (Mac OS X 10.7) and iOS 7, which enables the transfer of files among supported Macintosh computers and iOS devices over Wi-Fi and Bluetooth, without using mail or a mass storage device. New!!: IPhone and AirDrop See more ».
Textbook. R. Sedgewick and K. Wayne, Computer Science: An Interdisciplinary Approach, Addison–Wesley Professional, 2016. ISBN 978-0134076423. We will be referencing this text all semester. The lectures are based on its contents. (Labyrinth) |
Video lectures. Studio-produced lecture videos are available here.
Staff
Below you will find our contact information, though you'll likely get a faster response by posting on our course forum, found on the Help page.
Prof. Sedgewick | Dr. Alan Kaplan Teaches P10 | Dr. Soohyun Nam Liao Teaches P01 and P13 | Dr. Dan Leyzberg Teaches P02 and P07A | Dr. Jérémie Lumbroso Leads Assignment Grading |
Javed Aman Teaches P10A and P11 | Zhongqiao Gao Provides Exam Accommodations | Suriya Kodeswaran Teaches P03 and P07 | Anastasiya Kravchuk-Kirilyuk Teaches P05 and P14 | Jennifer Lam Teaches P06 and P08 |
Priscilla Lee Teaches P04 and P12 | Sonali Mahendran Facilitates Discussion on Ed | Johan Ospina Checks Grading Consistency | Xin Sun Checks Grading Consistency |
Graders. Abhinav Agarwal, Addie Jung, Adrian Tong, Al Liang, Alex Luo, Alexander Bechtold, Allison Chou, Alyssa Lau, Amanda Vera, Anaika Mehra, AnneMarie Caballero, Anoopkumar Sonar, Anton Stengel, Ava Crnkovic-Rubsamen, Begum Ortaoglu, Benjamin Herber, Byron Zhang, Carina Beat, Cheyenne Zhang, Chiara Nilsson-Salvati, Claire Du, Connie Xu, Dangely Canabal, Diamond Acharya, Eduardo Fernandez, Eileen Wang, Elizabeth John, Gabriel Contreras, Gabriel Grajeda, Gemma Zhang, Geoffrey Zheng, Grace Liu, Grace Xu, Handa Chun, Hanna Xu, Haoyuan He, Henrique Schechter Vera, Hetvi Patel, Ian Jaccojwang, Ivy Wang, Jana Saber, Jasmin Gao, Jeanna Joseph, Jeremy Pulmano, Jessica Fan, Joseph Lou, Julia Douvas, Juliet Oh, Kaelix Johnson, Kartik Shah, Ken Nakamura, Kevin Lin, Khemet Robinson, Kwan Sirisakunngam, Lois Wu, Melody Zheng, Monique Legaspi, Morgan Teman, Nick Padmanabhan, Pang Nganthavee, Rohan Jasani, Saisha Agrawal, Sara Schwartz, Shannon Heh, Shayna Maleson, Sophie Li, Srija Patcha, Tara Cubeisy, Thomas Dhome-Casanova, Yuewen Wu, Yuxi Zhen.
Precepts
Precepts meet twice per week, on either Tuesdays & Thursdays or Wednesdays & Fridays. We offer four precept formats, varied by length and teaching style.
We offer two lengths: 50-minutes and 80-minutes. Both are designed for students with no previous coding experience. Both cover the same material, but the 80-minute format allows more time to ask questions and learn at a more relaxed pace.
We offer two teaching styles: traditional precept and self-paced precepts. Traditional precept is taught in a classroom teaching model with hands-on exercises and activities. Self-paced precepts cover the same material but focuses even more on your own hands-on experience. In a self-paced precept, you will explore concepts to learn with a partner while following through step-by-step instructions. Preceptors will facilitate your exploration by answering to your questions whenever necessary.
| Length | Teaching Style | Precept |
|---|---|---|
| 50 minutes | Traditional | P02, P03, P05, P06, P07, P07A, P08 |
| 50 minutes | Self-Paced | P01, P04 |
| 80 minutes | Traditional | P10, P14 |
| 80 minutes | Self-Paced | P10A, P11, P12, P13 |
If you miss your precept, you can attend any other precept section. All Tuesday and Wednesday precepts cover the same content; all Thursday and Friday precepts cover the same content. We ask that you email the other preceptor in advance to let him/her know that you're coming.
Resources
Course software.This course has an associated software package called introcs that provides a complete Java programming environment. Install it on your computer by following the instructions for your operating system: Mac OS X, Windows, or Linux.
Ed Discussion.Ed Discussion is an online forum where you can ask and answer short questions.
Booksite. The booksite is a resource that accompanies the textbook for use while online (for example, while programming); it contains the code from the book and solutions to selected exercises. The textbook is for your use when initially learning new material or reinforcing your understanding of that material (for example, when reviewing for an exam).
codePost. You can check your assignment and programming exam feedback and grades on codePost.
Workstation computers.For students who may not have a computer or for students whose computers fail during the semester:
- McGraw Center's Digital Learning Lab (DLL), located on the 100 level of Lewis Science Library. Information and hours can be found here
- Julian Street Library, located on the 2nd floor of Wilcox Hall. Information and hours can be found here
GRADING
Course grades. Course grades are based on nine weekly programming assignments (40%), two written exams (35%), two programming exams (15%), and a final programming project (10%). There is no curve: you must earn, at a minimum, 93.0% of the available points for an A, 90.0% for an A–, 87.0% for a B+, 83.0% for a B, 80.0% for a B-, 77.0% for a C+, 73.0% for a C, 70.0% for a C-, or 60.0% for a D. You will fail the course if you earn below 60.0% of the available points.
Midterm exams. There are two two-part exams during the semester. One pair will be given in the middle of the semester; the other pair in the last week or so of classes. The exams have a written portion and a programming portion. There is no final exam. No makeup exams will be considered without a Dean's recommendation and our approval in advance.
Programming assignments. There are nine weekly programming assignments, all equally weighted.
Final project. The final project is a large programming project, approximately the length of two weekly assignments. It is due toward the end of Reading Period.
Late work. Assignments are due on Monday nights at 11:59pm. Submissions made at 12:00am will be marked late. If any part of an assignment is submitted late, the entire assignment will be marked late. To submit an assignment late, mark the checkbox on our online submission system (i.e., TigerFile) that indicates that your work is incomplete. If the deadline has passed and the checkbox is not marked, we will grade submitted work as-is. We will not accept any work after Dean's Date without a Dean's recommendation.
Penalties for late work. Late assignments are assessed a penalty equal to 20% of the possible points on the assignment per day or partial day late. The penalties for your first four late days are automatically waived. Additional late penalties will be waived only in the case of unforeseeable circumstances like medical emergencies, as documented by your Dean or Director of Studies.
Regrades. If you feel we have made a mistake while grading your work, write a short note describing the potential mistake and attach it to the graded work. Return it to your preceptor within two weeks of the work being handed back.
Collaboration Policy
This course permits (and encourages) many forms of collaboration, including with course staff, classmates, and lab TAs. However, you must be careful to collaborate only as authorized below. Here is an executive summary:
| YOUR PARTNER | COURSE STAFF | COS 126 GRADS | CLASS- MATES | OTHER PEOPLE | |
|---|---|---|---|---|---|
| DISCUSS CONCEPTS WITH: | ✔ | ✔ | ✔ | ✔ | ✔ |
| ACKNOWLEDGE COLLABORATION WITH: | ✔ | ✔ | ✔ | ✔ | ✔ |
| EXPOSE YOUR CODE/SOLUTIONS TO: | ✔ | ✔ | ✔ | ✘ | ✘ |
| VIEW THE CODE/SOLUTIONS OF: | ✔ | ✘ | ✘ | ✘ | ✘ |
| COPY CODE/SOLUTIONS FROM: | ✘ | ✘ | ✘ | ✘ | ✘ |
Jung's Labyrinth Mac Os X
Your solutions. You must individually compose all of your solutions. The term solutions refers to any of the products created when completing a programming assignment, such as source code (including comments) and the readme.txt file. It includes both finished and unfinished products, regardless of correctness or completeness.
- You must never expose solutions to anyone who is taking COS 126 now or who might take COS 126 in the future.
- If you leave your computer unattended, be sure to protect it with a password.
- You must never receive or view someone else's solutions to a programming assignment (or variant of an assignment).
All the rules above continue to apply after assignments are graded and after the end of the semester.
Collaboration with course staff. You are welcome to discuss your solutions with course staff members (instructor and preceptors) in office hours or via private Ed Discussion posts. Do not post or email us your code; instead, submit it via the course submission system.
Collaboration with classmates. We encourage you to discuss common concerns with classmates either private via personal interactions or publicly in the Ed Discussion course forum. These discussions must be kept at a general level, without exposing your solutions.
| For example, you may discuss: | But, you may not: |
|---|---|
|
|
Collaboration with students who have already taken COS 126. Anyone who successfully completed COS 126 in a previous term, including lab TAs and peer tutors, may assist you in the following ways:
- They may look at your code.
- They must not write, type, or dictate code.
- They may help debug, but they must not give step-by-step directions on how to complete the assignment.
- They should give thought-provoking suggestions rather than dictating what to change.
- While helping you, they must not look at any other solutions, including their own.
Collaboration with a partner. On certain assignments the collaboration policy is relaxed to allow working with a partner, subject to the following rules:
- Choose a partner whose skill level is close to your own.
- Complete all work with your partner, sharing the same screen. This includes debugging, testing, commenting, writing the readme.txt, and submitting the files.
- Go to office hours or the lab with your partner; one partner may not edit the code without the other partner present.
- Use the following pair programming protocol: one partner, the driver, types the code and the other partner, the navigator, reviews the code, identifies bugs, and asks questions. Swap roles every 30 minutes.
- Use email attachments or flash drives to transfer files with your partner. Do not post your code where it is visible to anyone but you and your partner.
- To dissolve a partnership, you must contact your preceptor.
Collaboration acknowledgment. You must acknowledge all collaboration in the readme.txt file for that week's assignment.
Plagiarism
Plagiarism and abetting plagiarism are serious academic infractions. Programming is a creative work and the academic regulations that apply to plagiarizing prose also apply to plagiarizing code. Princeton's Rights, Rules, Responsibilities defines plagiarism as 'the use of any outside source without proper acknowledgment.' It ranges from 'verbatim copying' (e.g., cutting-and-pasting code) to 'thorough paraphrasing' (e.g., changing variable names or rearranging code).Outside sources and citations. Copying or adapting code that is not yours is permitted only if it comes from the course materials (i.e., the course textbook, companion booksite, programming assignment specifications, checklists, lecture slides, lecture videos, and precepts). If you do so, you must cite any code that you copy or adapt (with the exception of code that is included with the assignment).
Plagiarism detection. We use sophisticated software tools to detect plagiarism. For example, we compare each submission (including interim submissions) against a code database, which includes all submissions from this offering and previous offerings of the course. While we take no pleasure in bringing cases to the Committee on Discipline; it is our duty to keep the playing field level for the overwhelming majority of students who work very hard in this course and follow the rules.
Penalties. We refer alleged academic violations (including plagiarism and abetting plagiarism) to the Committee on Discipline. If found responsible, the typical penalty is an F as a course grade plus whatever penalty that the CoD imposes. (The typical CoD penalty for plagiarism is suspension from the University for one year.) Violators of course policies that are not adjudicated by the CoD will receive penalties based on the severity of the violation, ranging from a warning (for violations that are both unintentional and innocuous) to an F in the course (for violations that are both intentional and serious).
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Home > Wharton > Undergraduate Research > WRS > 95
Abstract
By definition, free clinics exist to provide medical care without consideration of the patient’s ability to pay. Given this broad definition, this study aims to contrast two models of free clinics: federally qualified health center (FQHC) and student-run clinic (SRC). To my knowledge, there has not been a study that juxtaposes operations of different free clinics solely for the purpose of describing their similarities and differences
Keywords
free clinics, healthcare safety net providers, student-run clinics, federally-qualified health centers, case study
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