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Olympiad in Informatics, vol.8 (2014)

Foreword (1-2)

T. BELL, C. DUNCAN, S. JARMAN, H. NEWTON.
Presenting Computer Science Concepts to High School Students (3-19)

S. COMBEFIS, J. WAUTELET.
Programming Trainings and Informatics Teaching Through Online Contests (21-34)

G. CUBA-RICARDO, P.A. LEYVA-FIGUEREDO, L.L. MENDOZA-TAULER.
Learning Strategies of Informatics Contestants (35-48)

V. DAGIENE, E. ZUR, T. BENAYA.
International Olympiad in Informatics: Team Selection, Training, and Statistics – The Tale of Two Countries (49-61)

M. DOLINSKY.
Technology for the Development of Thinking of Preschool Children and Primary School Pupils (63-68)

J. FERNANDO, M.M.I. LIEM.
Components and Architectural Design of an Autograder System Family (69-79)

D. GINAT.
On Inductive Progress in Algorithmic Problem Solving (81-91)

E. KAILA, T. RAJALA, M.-J. LAAKSO, R. LINDEN, E. KURVINEN, T. SALAKOSKI.
Utilizing an Exercise-Based Learning Tool Effectively in Computer Science Courses (93-109)

V.M. KIRYUKHIN, M.S. TSVETKOVA.
The Approach of Early Olympiad Preparation “Olympic Lift” (111-122)

S. MAGGIOLO, G. MASCELLANI, L. WEHRSTEDT.
CMS: a Growing Grading System (123-131)

M. MIHOVA, N. STOJKOVIKJ, M. JOVANOV, E. STANKOV.
On Maximal Level Minimal Path Vectors of a Two-Terminal Network (133-144)

P.S. PANKOV, K.A. BARYSHNIKOV.
Tasks in Informatics with Pre-Existing Algorithms (145-155)

J. RADOSZEWSKI.
More Algorithms without Programming (157-168) REPORTS

L.H. CHAVEZ, A. GONZALEZ, J. PONCE.
omegaUp: Cloud-Based Contest Management System and Training Platform in the Mexican Olympiad in Informatics (169-178)

D. CLARK, M. CLAPPER.
The Australian Informatics Competition (179-189)

Y.K. ISAL, M.M.I. LIEM, A. MULYANTO, B. MARSHAL.
Indonesian Olympiad in Informatics: Significant Advancements between 2010 and 2014 (191-198)

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Foreword

We are now seeing papers that take as their foundation national strategies for teaching, of which
an informatics olympiad is (if at all) a small part.

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Presenting Computer Science Concepts to High School Students
T. BELL, C. DUNCAN, S. JARMAN, H. NEWTON.
University of Canterbury, New Zealand
Victoria University of Wellington, New Zealand

Computer science at high school often focuses on programming, but a broader view of other areas of computer science has key benefits for both writing programs that are more efficient and making more theoretical concepts more accessible to those who do not find programming intrinsically interesting. With the introduction of computer science at high schools, a lack of coherent resources for teachers and students prompted the development of the

NZ Computer Science Field Guide, an open-source, on-line textbook

This paper describes the design of the Field Guide, which has fourteen chapters about various topics of computer science. The design includes written text, videos, classroom activities and interactive applications. The need for a broad view of computer science is discussed, and programming exercises to go with the topics are suggested.

ACM 2013 Computer Science Curricula define
18 areas of computer science that should be covered at university level.

Many countries are now moving to increase the amount of computer science taught at high school level. This is partly driven by the dramatic shortage of computer science graduates in western countries.

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Programming Trainings and Informatics Teaching Through Online Contests
Sebastien COMBEFIS, Jeremy WAUTELET
Computer Science and IT in Education ASBL, Belgium

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Learning Strategies of Informatics Contestants
Gilberto CUBA-RICARDO, P. Alberto LEYVA-FIGUEREDO, Laura L. MENDOZA-TAULER
Jose de la Luz y Caballero University of Pedagogical Science of Holguin. Cuba

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International Olympiad in Informatics: Team Selection, Training, and Statistics – The Tale of Two Countries
Valentina DAGIENE1, Ela ZUR2, Tamar BENAYA2
Vilnius University, Institute of Mathematics and Informatics
The Open University of Israel, Computer Science Department

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Components and Architectural Design of an Autograder System Family
Jordan FERNANDO, M. M. Inggriani LIEM
Data and Software Engineering Research, School of Electrical Engineering and Informatics Institut Teknologi Bandung, Indonesia

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On Inductive Progress in Algorithmic Problem Solving
David GINAT
Tel-Aviv University, Science Education Department
Ramat Aviv, Tel-Aviv, Israel 69978

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Utilizing an Exercise-Based Learning Tool Effectively in Computer Science Courses
Erkki KAILA, Teemu RAJALA, Mikko-Jussi LAAKSO, Rolf LINDEN, Einari KURVINEN, Tapio SALAKOSKI
University of Turku, Finland

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The Approach of Early Olympiad Preparation “Olympic Lift”
Vladimir M. KIRYUKHIN, Marina S. TSVETKOVA
Dept. of Informatics and Control Processes, National Research Nuclear University ”MEPhI”
Academy of Improvement of Professional Skill and Professional Retraining of Educators

... start in 15–17 years is rather late. The school teacher could reveal the talented child and start process of her/his preparation to participate in contests earlier – at the age from 8 to 12 years. This paper describes the experience of Russia to establish in each school an environment – a so called “Olympic lift”, for training of very young students to participate in programming contests.

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CMS: a Growing Grading System
Stefano MAGGIOLO, Giovanni MASCELLANI, Luca WEHRSTEDT
London, U.K.
Faculty of Sciences, Scuola Normale Superiore, Pisa, Italy
Department of Mathematics, University of Bologna, Bologna, Italy

http://cms-dev.github.io

CMS has been used in two IOI editions (and will be used in 2014)

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omegaUp: Cloud-Based Contest Management System and Training Platform in the Mexican Olympiad in Informatics
Luis Hector CHAVEZ, Alan GONZALEZ, Joemmanuel PONCE
Naucalpan, Estado de Mexico

https://arena.omegaup.com/
https://github.com/omegaup/omegaup/

Since omegaUp’s launch 3 years ago, it has hosted more than 400 contests for both IOI training and ACM-like competitions, graded more than 100,000 submissions, and helped the Mexican Team achieve their best performance in the IOI finals to date.

omegaUp also provides easy to use administrative features enabling users to upload tasks for automatic grading without staff assistance and create their own contests using any previously uploaded task.

All of omegaUp’s source code is freely available from GitHub with a BSD license. We also run on top of a fully open source stack: nginx, HHVM, Debian/Ubuntu GNU/Linux with MySQL databases. Contributing to omegaUp is also easy since we provide a down-loadable Vagrant instance that is set up to match our production configuration.

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The Australian Informatics Competition
David CLARK, Mike CLAPPER
The University of Canberra, Faculty of Education, Science, Technology and Maths University Drive, Bruce, ACT, Australia, 2617
The Australian Mathematics Trust, Haydon Drive, Bruce, ACT, Australia, 2617

http://www.amt.edu.au

The Australian Informatics Competition (AIC) is the entry-level Informatics competition in Australia. It is a pen-and-paper competition, requiring no programming experience.

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Indonesian Olympiad in Informatics: Significant Advancements between 2010 and 2014
Yugo K. ISAL, M.M. Inggriani LIEM, Adi MULYANTO, Brian MARSHAL
Faculty of Computer Science, University of Indonesia
School of Electrical Engineering and Informatics, Bandung Institute of Technology
Alumni Association, Indonesian Computing Olympiad Team

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IOI journal OLYMPIADS IN INFORMATICS volume 9

Foreword (1-2)
Luis Hector CHAVEZ.

libinteractive: A Better Way to Write Interactive Tasks (3-14)
Sebastien COMBEFIS, Alexis PAQUES.

Informatics: A Review of Selection Processes, Trainings and Promotion Activities (15-26)
Gilberto CUBA-RICARDO, Maria T. SERRANO-RODRIGUEZ, P.Alberto LEYVA-FIGUEREDO, Laura L. MENDOZA-TAULER.

Methodology for Characterization of Cognitive Activities when Solving Programming Problems of an Algorithmic Nature (27_37)
Mircea DIMA, Rodica CETERCHI.

Efficient Range Minimum Queries using Binary Indexed Trees (39-44)
Michal FORISEK.

Towards a Better Way to Teach Dynamic Programming (45-55)
Ashar FUADI.

Introducing tcframe: A Simple and Robust Test Cases Generation Framework (57-73)
Ryan Ignatius HADIWIJAYA, M.M.Inggriani LIEM.

Metamorphic Testing and DSL for Test Cases & Checker Generators (75-88)
Fatima KALOTI-HALLAK, Michal ARMONI, Mordechai (Moti) BEN-ARI.

The Effectiveness of Robotics Competitions on Students’ Learning of Computer Science (89-112)
Bojan KOSTADINOV, Mile JOVANOV, Emil STANKOV, Marija MIHOVA, Biljana RISTESKA STOJKOSKA.

Different Approaches for Making the Initial Selection of Talented Students in Programming Competitions (113-125)
Stefano MAGGIOLO.

An Update on the Female Presence at the IOI (127-137)
Aleksandr MAIATIN, Pavel MAVRIN, Vladimir PARFENOV, Oksana PAVLOVA, Dmitrii ZUBOK.

The Estimation of Winners’ Number of the Olympiads’ Final Stage (139-146)
Martins OPMANIS.

Math Contests: Solutions without Solving (147-161)
Pavel S. PANKOV, Jyldyz R. JANALIEVA.

Conducting Complex Competitions in Informatics with Individual Tasks (163-172)
Jurate SKUPIENE.

Multiple Criteria Decision Methods in Informatics Olympiads (173-191)
Mirzakhmet SYZDYKOV, Madi UZBEKOV.

Ant Colony Optimisation Applied to Non-Slicing Floorplanning (193-203) REPORTS
Nevena ACKOVSKA, Agnes ERDOSNE NEMETH, Emil STANKOV, Mile JOVANOV.

Report of the IOI Workshop “Creating an international informatics curriculum for primary and high school education” (205-212)
Ammar ALNAHHAS, Emad ALAZAB.

Selecting and Training Students with No Suitable Informatics Background for Informatics Olympiads – The Case of Syrian Olympiad in Informatics (213-224)
Tolga CAN, I.Onur SIĞIRCI, Osman ABUL, M.Fatih DEMIRCI.

Informatics Olympiads in Turkey: Team Selection and Training (225-232)
Motiejus JAKSTYS.

Technical Report of Baltic Olympiad Informatics 2014 (233-242)
Steven HALIM.

VisuAlgo – Visualising Data Structures and Algorithms Through Animation (243-245)