Report Examples

Internship Report Examples#

Here you will find a list of internship reports shared by other students from the Degree Program (and related fields) who have already completed their training experience in various academic and corporate environments. These documents provide a useful reference to understand how to organize the content, which sections to include, and which aspects of the internship to highlight, offering inspiration on how to structure your own report while respecting academic standards and effectively integrating practical experience with the theoretical knowledge acquired during your studies.

Before reading the examples

If you have not already read it, consult the introduction to internships. For guidance on the report’s structure, tools and writing process, also read how to write the internship report.

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TitoloAutoreTopicLinguaLink
SAPERE: A Sequential Recommender System for Suggesting Exams to Sapienza StudentsLorenzo AntonelliMachine Learning๐Ÿ‡ฎ๐Ÿ‡นLink
A Comparative Analysis of Algorithms for Identifying Cancer Driver PathwaysAlessio BandieraBioinformatics๐Ÿ‡ฌ๐Ÿ‡งLink
Performance Evaluation of Software Architectures using Discrete Event SimulationIonut R. BarbalataSystem Infrastructure๐Ÿ‡ฌ๐Ÿ‡งLink
Efficient Parity Decision Trees and Their Connections to Logical Proofs and Total Search Problems in NPSimone BiancoComputational Complexity๐Ÿ‡ฌ๐Ÿ‡งLink
CereMath: a library of ML kernels for dataflow architecturesLeonardo BiasonHigh Performance Computing๐Ÿ‡ฌ๐Ÿ‡งLink
Sintesi Scenario-Based di Barrier Certificate per la Verifica di Circuiti QuantisticiMarco CasuQuantum Computing๐Ÿ‡ฎ๐Ÿ‡นLink
Achieving Max Flow in Strongly Polynomial Time for Sparse Networks: Beyond the Edmonds-Karp AlgorithmArmando CoppolaGraph Algorithms๐Ÿ‡ฌ๐Ÿ‡งLink
Machine Learning for Human Movement Classification Based on Kinect Skeleton DataLucian D. CrainicMachine Learning๐Ÿ‡ฌ๐Ÿ‡งLink
Sviluppo di un Modello di Machine Learning per l’Applicazione di Smart Parking โ€˜GeneroCityโ€™: Creazione di Dati Sintetici e Analisi PreliminareFrancesco D’AprileMachine Learning๐Ÿ‡ฎ๐Ÿ‡นLink
Examining Agentic Behaviour through Trace-Grounded Structured ExplanationsClaudia Di CarloAI Explainability๐Ÿ‡ฌ๐Ÿ‡งLink
Finding Hamiltonian Cycles in the Line Graphs of Highly Connected GraphsAmirhossein KhishvandGraph Theory๐Ÿ‡ฌ๐Ÿ‡งLink
Gait-ViViT: A Video Processing Model for Parkinson’s Disease DetectionGianmaria RomanoComputer Vision๐Ÿ‡ฌ๐Ÿ‡งLink
MazingaSmokeClassifier: deep learning e visione artificiale per la classificazione di fumi industrialiDaniele VerdeMachine Learning๐Ÿ‡ฎ๐Ÿ‡นLink
SalUn-Guided Feature Visualization: Visualizing the Internal Changes of Neural Networks During UnlearningLeila ZanoniMachine Learning๐Ÿ‡ฌ๐Ÿ‡งLink