Disciplines
DATA ANALYSIS
(INF-0612 - Messing with Data)
Teacher: Zanoni Dias
Introduction to Data Analysis using the R Language. Data types (vectors, lists, matrices, data frames, etc.). Predefined functions. Implementation of functions in R. Treatment, analysis and visualization of data.
Classes: 25/01/2025, 01/02/2025, 08/02/2025 and 15/02/2025, from 08:30 am to 12:30 pm.
INFORMATION RECOVERY
(INF-0611 - Gathering Data)
Teacher: Lin Tzy Li
Introduction to information retrieval. Ranking evaluation techniques. Unstructured data recovery concepts. Text recovery. Image recovery by content. Video recovery. Techniques for improving ranking quality.
Classes: 01/02/2025, 08/02/2025, 15/02/2025 and 22/02/2025, from 13:30 am to 17:30 pm.
SUPERVISED MACHINE LEARNING I
(INF-0615 - Learning from Data)
Teacher: Anderson de Rezende Rocha
Classification problems. Decision boundaries. Linear and non-linear classifiers, logistic regression, decision trees and random forests. Overfitting and validation. Ensemble methods: bagging, boosting and stacking. Cross validation. Imbalance, diagnosis of bias and variance. Evaluation measures. Interpretation of models (X-AI) and classification in open scenario (open-set).
Classes: 22/02/2025, 01/03/2025, 08/03/2025 and 15/03/2025, from 08:30 am to 12:30 pm.
MACHINE LEARNING NOT SUPERVISED
(INF-0613 - Exploring Data)
Teacher: Hélio Pedrini
Discovery of knowledge. Understanding and prospecting for information. Exploratory data analysis. Anomaly detection. Association rules. Dimensionality reduction. Attribute selection. Grouping techniques.
Classes: 01/03/2025, 08/03/2025, 15/03/2025 and 22/03/2025, from 13:30 am to 17:30 pm.
VIEWING INFORMATION
(INF-0614 - Viewing data)
Teacher: Celmar Guimarães da Silva
Theoretical and practical aspects of Information Visualization (InfoVis). Representation of data in a graphic and interactive way. InfoVis reference model. Characterization of data. Recommendations for visual mapping. Visualization of multidimensional data. Visualization of texts.
Classes: 22/03/2025, 29/03/2025, 05/04/2025 and 12/04/2025, from 08:30 am to 12:30 pm.
SUPERVISED MACHINE LEARNING II
(INF-0616 - Thinking with Data I)
Teacher: Esther Luna Colombini
Introduction to the Python language. Support Vector Machines (SVMs): kernels (linear and non-linear), SVRs and one-class SVM. Regularization techniques. Grid-search and random-search. Neural networks: types of networks, forward and backward propagation, and activation functions. Statistical tests.
Classes: 29/03/2025, 05/04/2025, 12/04/2025 and 26/04/2025, from 13:30 am to 17:30 pm.
BIG DATA (INF-0617 - Big Data)
Teacher: Lucas Francisco Wanner
Introduction to parallel and distributed computing. Parallel data processing in Python. Distributed data processing with Map-Reduce and Hadoop Streaming. Introduction to tools for analyzing and processing data with Hadoop and Spark.
Classes: 26/04/2025, 03/05/2025, 10/05/2025 and 17/05/2025, from 08:30 am to 12:30 pm.
DEEP LEARNING
(INF-0618 - Thinking with Data II)
Teacher: Marcelo da Silva Reis
Deep learning and convolutional neural networks (CNN). Convolution: padding and stride. Loss functions. Training: activation, pre-processing, data augmentation, weight initialization and parameter optimization functions. Regularization. Learning transfer. Recurrent Neural Networks (RNN). Transformers. Detection and Segmentation. Generative Adversarial Networks (GAN). Interpretability (X-AI). Tools: TensorFlow and Keras.
Classes: 03/05/2025, 10/05/2025, 17/05/2025 and 24/05/2025, from 13:30 am to 17:30 pm.
FINAL PROJECT (INF-0619 - Data @ Work)
Teacher: Zanoni Dias
Definition of target problem. Data identification and collection. Analysis of the techniques to be employed. Comparative study. Analysis, visualization and presentation of results.
Classes: 14/06/2025, 28/06/2025, 05/07/2025 and 12/07/2025, from 08:30 am to 12:30 pm.
100% Online Course
All classes will be held and broadcast live (via Zoom), with the participation of students in real time, on the days and times indicated above. Classes will be recorded and videos will be available to students until the end of the course. Course material (slides, tutorials, codes, etc.) will be made available to students (via Moodle). Questions will be answered from Monday to Friday, with teachers and monitors, synchronously (via Zoom) and asynchronous (via Slack). Assessments will be carried out through practical work.
Registration
Registration for Class 2025 starts on 01/10/2024.
The following documents are required for registration:
Registration Form and Term of Commitment signed digitally (documents generated by Online Pre-Registration)
Diploma or Certificate of Completion of Undergraduate Course
RG and CPF
Résumé
Cover letter (optional, free format, one page, attach to CV, to be sent through the system)
Important:
After completing the course registration form, the candidate will be directed to pay the registration fee (R$63,00, via bank slip or credit card). After the registration fee has been cleared by bank, the option will be enabled in the Extecamp system (via the student area) to sign the commitment form and send the documents.
Documents must be presented on the front and back, whenever there is any information recorded on the back of the document.
Registration will take place after signing the term, delivering the documents indicated above and checking the documentation by the Extension Secretariat (itext@unicamp.br).
Documents must be received through the Extecamp system by 15/12/2024 (Sunday).
If approved in the selection process, enrollment will be effective after payment of the first installment (or single installment) of the course.
In case of doubts about the registration documentation, consult the Extension Secretariat (itext@unicamp.br).
Late registration will not be accepted.
Investment
The total cost of the course (R$9.999,95) can be paid in 5 interest-free installments.
Special discounts (cumulative):
R$2.000,00 discount for cash payment.
R$1.000,00 discount for payment in 3 installments without interest.
R$1.000,00 discount for former Unicamp students.
R$2.000,00 discount for registrations made until 31/10/2024.
R$1.000,00 discount for registrations made between 01/11/2024 and 30/11/2024.
Remarks:
The discounts mentioned above will be applied manually when issuing bank slips, after the selection process (the system may display amounts without discounts at the time of registration).
The payment of the first monthly installment or the single installment, depending on the payment method chosen, must be made by 10/01/2025.
To qualify for the early registration discount, all documents must be delivered by the dates indicated.
To qualify for the discount for Unicamp alumni, the candidate must present, at the time of registration, a diploma or a certificate of completion of an undergraduate or graduate course (master's or doctorate) issued by Unicamp.
As the discounts are cumulative, it is possible to obtain up to R$5.000,00 of discount (considering the discounts listed above, applying the respective conditions).
Details
Prerequisite: Full upper level. Basic programming knowledge.
Target Audience: Computer professionals, trained in Computing or related areas (Engineering or Exact).
Selection criteria: Analysis of Curriculum and Cover Letter (optional).
Course type: Extension course.
Class schedules: Saturdays, from 8:30 am to 12:30 pm and from 13:30 pm to 17:30 pm.
Required Material: As it is a course with a practical focus, all students must have a computer / notebook with internet access to follow the classes and proposed practical activities.
Class size: A minimum of 30 and a maximum of 90 students.
Course coordinator: Zanoni Days.
Calendar
| Data |
Event |
| 01/10/2024 até 15/12/2024 |
Registration period |
| 15/12/2024 |
Deadline for submission of registration documents |
| 20/12/2024 |
Disclosure of candidates selected for registration |
| 10/01/2025 |
Maturity of the first or single installment |
| 25/01/2025 até 12/07/2025 |
Course offering period |
